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Introduction to the Theory of Computation3rd EditionMichael Sipser 389 solutions What three main types of workload can be found in a typical modern data warehouse? - Streaming Data A ____________________ is a continuous flow of information, where continuous does not necessarily mean regular or constant. data stream __________________________ focuses on moving and transforming data at rest. Batch processing This data is usually well organized and easy to understand. Data stored in relational databases is an example, where table rows and columns represent entities and their attributes. Structured Data This data usually does not come from relational stores, since even if it could have some sort of internal organization, it is not mandatory. Good examples are XML and JSON files. Semi-structured Data Data with no explicit data model falls in this category. Good examples include binary file formats (such as PDF, Word, MP3, and MP4), emails, and tweets. Unstructured Data What type of analysis answers the question "What happened?" Descriptive Analysis What type of analysis answers the question "Why did it happen?" Diagnostic Analysis What type of analysis answers the question "What will happen?" Predictive Analysis What type of analysis answers the question "How can we make it happen?" Prescriptive Analysis The two main kinds of workloads are ______________ and _________________. extract-transform-load (ETL) ______ is a traditional approach and has established best practices. It is more commonly found in on-premises environments since it was around before cloud platforms. It is a process that involves a lot o data movement, which is something you want to avoid on the cloud if possible due to its resource-intensive nature. ETL ________ seems similar to ETL at first glance but is better suited to big data scenarios since it leverages the scalability and flexibility of MPP engines like Azure Synapse Analytics, Azure Databricks, or Azure HDInsight. ELT _______________ is a cloud service that lets you implement, manage, and monitor a cluster for Hadoop, Spark, HBase, Kafka, Store, Hive LLAP, and ML Service in an easy and effective way. Azure HDInsight _____________ is a cloud service from the creators of Apache Spark, combined with a great integration with the Azure platform. Azure Databricks ____________ is the new name for Azure SQL Data Warehouse, but it extends it in many ways. It aims to be the comprehensive analytics platform, from data ingestion to presentation, bringing together one-click data exploration, robust pipelines, enterprise-grade database service, and report authoring. Azure Synapse Analytics A ___________ displays attribute members on rows and measures on columns. A simple ____________ is generally easy for users to understand, but it can quickly become difficult to read as the number of rows and columns increases. table A _____________ is a more sophisticated table. It allows for attributes also on columns and can auto-calculate subtotals. matrix Objects in which things about data should be captured and stored are called: ____________. A. tables B. entities You need to process data that is generated continuously and near real-time responses are required. You should use _________. A. batch processing
D. streaming data processing A. Extract, Transform, Load (ETL) 1. Optimize data privacy. 1 - A Extract, Transform, Load (ETL) is the correct approach when you need to filter sensitive data before loading the data into an analytical model. It is suitable for simple data models that do not require Azure Data Lake support. Extract, Load, Transform (ELT) is the correct approach because it supports Azure Data Lake as the data store and manages large volumes of data. The technique that provides recommended actions that you should take to achieve a goal or target is called _____________ analytics. A. descriptive D. prescriptive A. Tables 1. Create relationships. 1 - D The process of splitting an entity into more than one table to reduce data redundancy is called: _____________. A. deduplication C. normalization Azure SQL Database is an example of ________________ -as-a-service. A. platform A. platform A. Azure Data Studio 1. Query data while working within a Visual Studio project. 1 - C The act of increasing or decreasing the resources that are available for a service is called: _____________. A. computing D. scaling A. JOIN 1. Filter records. 1 - B What are three characteristics of non-relational data? Each correct answer presents a complete solution. A. Forced schema on data structures B. Flexible storage of ingested data You have data that consists of JSON-based documents. You need to store the data in an Azure environment that supports efficient non-key, field-based searching. You should use _______________________ as the data store. A. Azure Table Storage D. Azure Cosmos DB You need to create a graph database.
Which Azure data service should you use? B. Azure Cosmos DB Only Azure Cosmos DB supports creating graph databases. Azure Table Storage, Azure Blob Storage, and Azure File Storage do not support graph databases. You use Azure Table Storage as a non-relational data store. You need to optimize data retrieval. You should use ______________________________ as query criteria. A. only partition keys C. partition keys and row keys You need to use JavaScript Object Notation (JSON) files to provision Azure storage. What should you use? A. Azure portal D. Azure Resource Manager (ARM) templates For which reason should you deploy a data warehouse? A. Record daily sales transactions. B. Perform sales trend analyses. Which two Azure data services support Apache Spark clusters? Each correct answer presents a complete solution. A. Azure Synapse Analytics A. Azure Synapse Analytics You design a data ingestion and transformation solution by using Azure Data Factory service. You need to get data from an Azure SQL database. Which two resources should you use? Each correct answer presents part of the solution. A. Linked service A. Linked service Which Azure Data Factory component should you use to represent data that you want to ingest for processing? A. Linked services B. Datasets You are designing reports by using Microsoft Power BI. For which three scenarios can you create Power BI reports as paginated reports? Each correct answer presents a complete solution. A. a report that has a table visual with an ability to print all the data in the table A. a report that has a table visual with an ability to print all the data in the table When a Power BI report that has a table visual contains multiple rows, printed, only records that can are displayed will be printed. All records print if you design the report by using Report Builder as a paginated report, all records print. Only paginated report supports repeatable headers and footers. You cannot create paginated reports by using Power BI visuals. You must use Report Builder instead. How is data in a relational table organized? Rows and Columns Rows and Columns Which of the following is an example of unstructured data? An Employee table with columns EmployeeID, EmployeeName, and EmployeeDesignation Audio and Video files What is a data warehouse? A non-relational database optimized for read and write operations A relational database optimized for read operations A ____________________ is responsible for the design, implementation, maintenance, and operational aspects of on-premises and cloud-based database systems. They're responsible for the overall availability and consistent performance and optimizations of databases. database administrator A _____________________ collaborates with stakeholders to design and implement data-related workloads, including data ingestion pipelines, cleansing and transformation activities, and data stores for analytical workloads. They use a wide range of data platform technologies, including relational and non-relational databases, file stores, and data streams. data engineer A ________________________ enables businesses to maximize the value of their data assets. They're responsible for exploring data to identify trends and relationships, designing and building analytical models, and enabling advanced analytics capabilities through reports and visualizations. data analyst A. Azure SQL Database 1 - a virtual
machine with an installation of SQL Server, allowing maximum configurability with full management responsibility. 1 - C A. Azure
Database for MySQL 1 - a simple-to-use open-source database management system that is commonly used in Linux, Apache, and PHP (LAMP) stack apps. 1 - A ____________________ is a global-scale non-relational (NoSQL) database system that supports multiple application programming interfaces (APIs), enabling you to store and manage data as JSON documents, key-value pairs, column-families, and graphs. Azure Cosmos DB A. Blob containers 1 - network file shares such as you typically find in corporate networks. 1 - B _____________________ is an Azure service that enables you to define and schedule data pipelines to transfer and transform data. You can integrate your pipelines with other Azure services, enabling you to ingest data from cloud data stores, process the data using cloud-based compute, and persist the results in another data store. Azure Data Factory Data engineers can use ________________ to create a unified data analytics solution that combines data ingestion pipelines, data warehouse storage, and data lake storage through a single service. Azure Synapse Analytics Azure ________________ is an Azure-integrated version of the popular __________________ platform, which combines the Apache Spark data processing platform with SQL database semantics and an integrated management interface to enable large-scale data analytics. Databricks ____________________ is a real-time stream processing engine that captures a stream of data from an input, applies a query to extract and manipulate data from the input stream, and writes the results to an output for analysis or further processing. Azure Stream Analytics Azure _________________ is a standalone service that offers the same high-performance querying of log and telemetry data as the Azure Synapse ________________ runtime in Azure Synapse Analytics. Data Explorer ____________________ provides a solution for enterprise-wide data governance and discoverability. You can use __________________ to create a map of your data and track data lineage across multiple data sources and systems, enabling you to find trustworthy data for analysis and reporting. Azure Purview Microsoft __________________ is a platform for analytical data modeling and reporting that data analysts can use to create and share interactive data visualizations. Power BI Which one of the following tasks is the responsibility of a database administrator? Backing up and restoring databases Backing up and restoring databases Which role is most likely to use Azure Data Factory to define a data pipeline for an ETL process? Database Administrator Data Engineer Which single service would you use to implement data pipelines, SQL analytics, and Spark analytics? Azure SQL Database Azure Synapse Analytics In a relational database, you model collections of entities from the real world as ______________. tables _____________ is a term used by database professionals for a schema design process that minimizes data duplication and enforces data integrity. Normalization SQL statements are grouped into what three main logical groups? Data Definition Language (DDL) Database administrators generally use _______ statements to manage access to objects in a database by granting, denying, or revoking permissions to specific users or groups. Data Control Language (DCL) You use _________ statements to create, modify, and remove tables and other objects in a database (table, stored procedures, views, and so on). Data Definition Language (DDL) You use ________ statements to manipulate the rows in tables. These statements enable you to retrieve (query) data, insert new rows, or modify existing rows. You can also delete rows if you don't need them anymore. Data Manipulation Language (DML) A _________ is a virtual table based on the results of a SELECT query. view A ______________ defines SQL statements that can be run on command. stored procedure Which one of the following statements is a characteristic of a relational database? All columns in a table must be of the same data type A row in a table represents a single instance of an entity Which SQL statement is used to query tables and return data? QUERY SELECT What is an index? A structure that enables queries to locate rows in a table quickly A structure that enables queries to locate rows in a table quickly A SQL engine that is optimized for Internet-of-things (IoT) scenarios that need to work with streaming time-series data. Azure SQL Edge Which deployment option offers the best compatibility when migrating an existing SQL Server on-premises solution? Azure SQL Database (single database) Azure SQL Managed Instance Which of the following statements is true about Azure SQL Database? Most database maintenance tasks are automated Most database maintenance tasks are automated Which database service is the simplest option for migrating a LAMP application to Azure? Azure SQL Managed Instance Azure Database for MySQL _________________ is the online Microsoft OLAP platform, which you can use to perform data analysis and manage huge volumes of information from different pointes of view. Azure Synapse Analytics You are designing an application that will store petabytes of medical imaging data. When the data is first created, the data will be accessed frequently during the first week. After one month, the data must be accessible within 30 seconds, but files will be accessed infrequently. After one year, the data will be accessed infrequently but must be accessible within five minutes. You need to select a storage strategy for the data. The solution must minimize costs. Which storage tier should you use for each time frame? If you would like to access the data after first month, which storage strategy you will use ? Archive Cool First week: Hot -Hot - Optimized for storing data that is accessed frequently. You are designing an application that will store petabytes of medical imaging data. When the data is first created, the data will be accessed frequently during the first week. After one month, the data must be accessible within 30 seconds, but files will be accessed infrequently. After one year, the data will be accessed infrequently but must be accessible within five minutes. You need to select a storage strategy for the data. The solution must minimize costs. Which storage tier should you use for each time frame? If you would like to access the data after one year, which storage strategy you will use ? Archive Cool After one year: Cool - You need to recommend a storage solution for a sales system that will receive thousands of small files per minute. The files will be in JSON, text, and CSV formats. The files will be
processed and transformed before they are loaded into a data warehouse in Azure Synapse Analytics. The files must be stored and secured in folders. A. Azure Data Lake Storage Gen2 A. Azure Data Lake Storage Gen2 Azure provides several solutions for working with CSV and JSON files, depending on your needs. The primary landing place
for these files is either Azure Storage or Azure Data Lake Store.1 You are designing an Azure Cosmos DB database that will support vertices and edges. Which Cosmos DB API should you include in the design? SQL Gremlin The Azure Cosmos DB Gremlin API can be used to store massive graphs with billions of vertices and edges. You are designing a data storage solution for a database that is expected to grow to 50 TB. The usage pattern is singleton inserts, singleton updates, and reporting. Which storage solution should you use? Azure SQL Database elastic pools Azure SQL Database Hyperscale A Hyperscale database is an Azure SQL database in the Hyperscale service tier that is backed by the Hyperscale scale-out storage technology. A Hyperscale database supports up to 100 TB of data and provides high throughput and performance, as well as rapid scaling to adapt to the workload requirements. Scaling is transparent to the application connectivity, query processing, etc. work like any other Azure SQL database. A company plans to use Apache Spark Analytics to analyze intrusion detection data. You need to recommend a solution to monitor network and system activities for malicious activities and policy violations. Reports must be produced in an electronic format and sent to management. The solution must minimize administrative efforts. What should you recommend? Azure Databricks Recommendation engines, churn analysis, and intrusion detection are common scenarios that many organizations are solving across multiple industries. They require machine learning, streaming analytics, and utilize massive amounts of data processing that can be difficult to scale without the right tools. Companies like Lennox International, E.ON, and renewables.AI are just a few examples of organizations that have deployed Apache Spark™ to solve these challenges using Microsoft Azure Databricks. Which type of analytics helps answer questions about what has happened in the past? Descriptive analytics Descriptive analytics Which of the following is based on column family database ? Gremlin Apache Cassandra The most widely used column family database management system is Apache Cassandra. Azure Cosmos DB supports the column-familiy approach through the Cassandra API. _____________ is a feature of SQL Server and Azure SQL Database that enables you to run Transact-SQL queries that read data from external data sources. ______ makes these external data sources appear like tables in a SQL database. A. SSMS Polybase PolyBase is a feature of SQL Server and Azure SQL Database that enables you to run Transact-SQL queries that read data from external data sources. PolyBase makes these external data sources appear like tables in a SQL database. Using PolyBase, you can read data managed by Hadoop, Spark, and Azure Blob Storage, as well as other database management systems such as Cosmos DB, Oracle, Teradata, and MongoDB. Azure Data Factory pipeline can pass parameters to a notebook ? Y/N Yes Databricks can process data held in many different types of storage, including Azure Blob storage, Azure Data Lake Store, Hadoop storage, flat files, SQL databases, and data warehouses, and Azure services such as Cosmos DB ? Y/N Yes
Imagine that you're part of a team that is analyzing house price data. The dataset that you receive contains house price information for several regions. Your team needs to report on how the house prices in each region have varied over the last few months. To achieve this, you need to ingest the data into Azure Synapse Analytics. You've decided to use Azure Datawarehouse to perform this task ? Y/N No To achieve this, you need to ingest the data into Azure Synapse Analytics. You've need to use Azure Data Factory to perform this task. You have a requirement to process data once in a month which processing strategy will you recommend ? Batch Processing Batch Processing You have a requirement to process data whenever data is changed (real time) which processing strategy will you recommend ? Batch processing Stream Processing You develop data engineering solutions for a company. You must integrate the company's on-premises Microsoft SQL Server data with Microsoft Azure SQL Database. Data must be transformed incrementally. You need to implement the data integration solution. Which tool should you use to configure a pipeline to copy data? A. Use the Copy Data tool with Blob storage linked service as the source B. Use Azure PowerShell with SQL Server linked service as a source You need to select the Online transaction processing (OLTP) properties for your solution. Given below are some of the properties for Typical traits of transactional data and you need to select the correct ones for OLTP ? Schema on write Schema on write You would like to consume data in Azure Data bricks from different services. Azure Data bricks can consume data from Azure cosmos db ? Y/N Yes You would like to consume data in Azure Data bricks from different services. Azure Data bricks can consume data from Azure Event Hub ? Y/N Yes You would like to consume data in Azure Data bricks from different services. Azure Data bricks can consume data from Azure SQL db ? Y/N Yes You need to suggest a telemetry data solution that supports the analysis of log files in real time. Which two Azure services should you include in the solution? Azure Databricks Azure Databricks You need to recommend a security solution for containers in Azure Blob storage. The solution must ensure that only read permissions are granted to a specific user for a specific container. What should you include in the recommendation? shared access signatures (SAS) shared access signatures (SAS) You can delegate access to read, write, and delete operations on blob containers, tables, queues, and file shares that are not permitted with a service SAS. A company is developing a mission-critical line of business app that uses Azure SQL Database Managed Instance. You must design a disaster recovery strategy for the solution. You need to ensure that the database automatically recovers when full or partial loss of the Azure SQL Database service occurs in the primary region. What should you recommend? Failover-group Failover-group Auto-failover groups is a SQL Database feature that allows you to manage replication and failover of a group of databases on a SQL Database server or all databases in a Managed Instance to another region (currently in public preview for Managed Instance). It uses the same underlying technology as active geo- replication. You can initiate failover manually or you can delegate it to the SQL Database service based on a user-defined policy. A company is designing a solution that uses Azure Databricks. The solution must be resilient to regional Azure datacenter outages. You need to recommend the redundancy type for the solution. What should you recommend? A. Read-access geo-redundant storage C. Geo-redundant storage You need to identify correct DML(Data Manipulation Language) commands from the below , select three Create Insert Azure SQL managed instance supports user created backup Y/N Yes Azure SQL managed instance supports cross db Queries Y/N Yes Azure analysis services is used for transactional workloads Y/N Yes You are creating a new notebook in Azure Databricks that will support R as the primary language but will also support Scala and SQL. Which switch should you use to switch between languages? A. % A. % You need to query a table named Products in an Azure SQL database. Which three requirements must be met to query the table from the internet? You must be assigned the Reader role for the resource group that contains the database. Your IP address must be allowed to connect to the database. Azure Blob Storage supports what three types of blobs? Block blobs Blob storage provides what three access tiers? The Hot tier Name the Blob storage access tier. The ____ tier is the default. You use this tier for blobs that are accessed frequently. The blob data is stored on high-performance media. Hot Name the Blob storage access tier. The ______ tier has lower performance and incurs reduced storage charges compared to the Hot tier. Use the ______ tier for data that is accessed infrequently. Cool Name the Blob storage access tier. The __________ tier provides the lowest storage cost, but with increased latency. The ____________tier is intended for historical data that mustn't be lost, but is required only rarely. Blobs in the ______________tier are effectively stored in an offline state. Archive ___________________ is essentially a way to create cloud-based network shares, such as you typically find in on-premises organizations to make documents and other files available to multiple users. Azure Files Azure Files supports what two common network file sharing protocols? Server Message Block (SMB) ____________________ is a NoSQL storage solution that makes use of tables containing key/value data items. Each item is represented by a row that contains columns for the data fields that need to be stored. Azure Table Storage What are the elements of an Azure Table storage key? Partition key and row key What should
you do to an existing Azure Storage account in order to support a data lake for Azure Synapse Analytics? Upgrade the account to enable hierarchical namespace and create a blob container Why might you use Azure File storage? To enable users at different sites to share files. Match the Cosmos DB API with the correct data storage format. 1. Core (SQL) API A. Key-Value Core (SQL) API - JSON Which API should you use to store and query JSON documents in Azure Cosmos DB? Core (SQL) API Which Azure Cosmos DB API should you use to work with data in which entities and their relationships to one another are represented in a graph using vertices and edges? Gremlin API How can you enable globally distributed users to work with their own local replica of a Cosmos DB database? Enable multi-region writes and add the regions where you have users. Modern data warehousing architecture can vary, as can the specific technologies used to implement it; but in general, which elements are included in most implementations? - Data ingestion and processing On Azure, large-scale data ingestion is best implemented by creating pipelines that orchestrate ETL processes. You can create and run pipelines using ____________________, or you can use the same pipeline engine in _______________________ if you want to manage all of the components of your data warehousing solution in a unified workspace. Azure Data Factory A _________________ is a relational database in which the data is stored in a schema that is optimized for data analytics rather than transactional workloads. Commonly, the data from a transactional store is denormalized into a schema in which numeric values are stored in central _____________ tables, which are related to one or more ____________ tables that represent entities by which the data can be aggregated. data warehouse A _________________ is a file store, usually on a distributed file system for high performance data access. data lake This kind of storage uses the principle of a hash table, also called a dictionary. No matter what the value content is, it must be just one value, and it can be matched with a unique key. Key-value store Blob storage allows you to maintain your data inside ___________. containers When you must store binary information, images, sounds, video, or large data in different formats and schemas, you should use __________________. Azure Blob Storage True or False Any content uploaded to an Azure storage account is encrypted. True Which Azure services can you use to create a pipeline for data ingestion and processing? Azure Synapse Analytics and Azure Data Factory What must you define to implement a pipeline that reads data from Azure Blob Storage? A linked service for your Azure Blob Storage account Which open-source distributed processing engine does Azure Synapse Analytics include? Apache Spark In ________ processing, newly arriving data elements are collected and stored, and the whole group is processed together as a _________.
batch In ________ processing, each new piece of data is processed when it arrives. stream Apart from the way in which batch processing and streaming processing handle data, there are other differences: Data scope: _________ processing can process all the data in the dataset. __________ processing typically only has access to the most recent data received, or within a rolling time window (the last 30 seconds, for example). Batch Apart from the way in which batch processing and streaming processing handle data, there are other differences: Data size: _____________ processing is intended for individual records or micro batches consisting of few records. ________ processing is suitable for handling large datasets efficiently. Stream Apart from the way in which batch processing and streaming processing handle data, there are other differences: Performance: Latency is the time taken for the data to be received and processed. The latency for _________ processing is typically a few hours. __________ processing typically occurs immediately, with latency in the order of seconds or milliseconds. batch Apart from the way in which batch processing and streaming processing handle data, there are other differences: Analysis: ______________ processing is used for simple response functions, aggregates, or calculations such as rolling averages. You typically use __________ processing to perform complex analytics. Stream A platform-as-a-service (PaaS) solution that you can use to define streaming jobs that ingest data from a streaming source, apply a perpetual query, and write the results to an output. Azure Stream Analytics An open-source library that enables you to develop complex streaming solutions on Apache Spark based services, including Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Spark Structured Streaming A high-performance database and analytics service that is optimized for ingesting and querying batch or streaming data with a time-series element. Azure Data Explorer A data ingestion service that you can use to manage queues of event data, ensuring that each event is processed in order, exactly once. Azure Event Hubs A data ingestion service that is similar to Azure Event Hubs, but which is optimized for managing event data from Internet-of-things (IoT) devices. Azure IoT Hub A highly scalable storage service that is often used in batch processing scenarios, but which can also be used as a source of streaming data. Azure Data Lake Store Gen 2 An open-source data ingestion solution that is commonly used together with Apache Spark. Apache Kafka To query Data Explorer tables, you can use __________________, a language that is specifically optimized for fast read performance - particularly with telemetry data that includes a timestamp attribute. Kusto Query Language (KQL) Which definition of stream processing is correct? Data is processed continually as new data records arrives Which service would you use to
continually capture data from an IoT Hub, aggregate it over temporal periods, and store results in Azure SQL Database? Azure Stream Analytics Which language would you use to query real-time log data in Azure Synapse Data Explorer? KQL __________________ tables represent the entities by which you want to aggregate numeric measures - for example product or customer. Each entity is represented by a row with a unique key value. The remaining columns represent attributes of an entity - for example, products have names and categories, and customers have addresses and cities. Dimension The numeric measures that will be aggregated by the various dimensions in the model are stored in _________ tables. Each row in a ________ table represents a recorded event that has numeric measures associated with it. fact One final thing worth considering about analytical models is the creation of attribute __________________ that enable you to quickly drill-up or drill-down to find aggregated values at different levels in a dimension. hierarchies Which tool should you use to import data from multiple data sources and create a report? Power BI Desktop What should you define in your data model to enable drill-up/down analysis? A hierarchy Which kind of visualization should you use to analyze pass rates for multiple exams over time? A line chart Which of the below items are true? - Partition keys are used in Azure Cosmos DB to optimize queries. Partition keys are used in Azure Cosmos DB to optimize queries. In a data warehousing workload, data _______________ - from a single source is distributed to multiple locations In a data warehousing workload, data from multiple sources is combines in a single location A data warehouse workload refers to all operations that transpire in relation to a data warehouse. The depth and breadth of these components depend on the maturity level of the data warehouse. The data warehouse workload encompasses: You need to analyze data to know what occurred with the daily moving average inventories for the past 90 days of stock financial data. Which type of analytics will you perform? Diagnostic Analytics Descriptive Analytics Descriptive analytics helps answer questions about what has happened, based on historical data. Descriptive analytics techniques summarize large datasets to describe outcomes to stakeholders. Which of the below options are true? - Azure Data Studio can be used to restore a database. - Azure Data Studio can be used to restore a database. What database style is ideal for data that heavily relies on relationships, such as the relationships between People, Places, and Things? Select the correct option. Graph Data Graph Data stores nodes and their relationships to each other (called edges). A graph is a collection of data objects and directed relationships. Data is still held as a set of documents in Cosmos DB, but the Gremlin API enables you to perform graph queries over data. You are deploying a SaaS (Software as a Service) application that requires a relational database for Online Transaction Processing (OLTP). Which Azure service should you use to support the application? Azure SQL Database Azure SQL Database is a new compute tier that optimizes price-performance and simplifies performance management for databases with intermittent and unpredictable usage. The serverless compute tier enjoys all the fully managed, built-in intelligence benefits of SQL Database and helps accelerate application development, minimize operational complexity, and lower total costs. You need to recommend a non-relational data store that is optimized for storing and retrieving text files, videos, audio streams, and virtual disk images. The data store must store data, some metadata, and a unique ID for each file. Which type of data store should you
recommend? object Object storage is optimized for storing and retrieving large binary objects (images, files, video and audio streams, large application data objects and documents, virtual machine disk images). Large data files are also popularly used in this model, for example, delimited file (CSV), parquet, and ORC. Object stores can manage extremely large amounts of unstructured data. When you create an Azure SQL database, which account can always connect to the database? Select the correct option. - the server admin login account of the logical server When you first deploy Azure SQL, you specify an admin login and an associated password for that login. This administrative account is called Server admin. You can use this account to always connect to the database. A key/value data store is best suitable for _____________________ - enforcing constraints - simple lookups A key/value store associates each data
value with a unique key. Most key/value stores only support simple query, insert, and delete operations. To modify a value (either partially or completely), an application must overwrite the existing data for the entire value. In most implementations, reading or writing a single value is an atomic operation. You have a transactional workload running on a relational database system. You need to remove all DML anomalies which hamper the integrity of the databases. What would you do in such a scenario? Normalize the tables as much as possible Which of the components of Azure Synapse Analytics allows you to train AI models using AzureML? Select the correct option. Synapse Spark Which of the following Azure database services has almost 100% compatibility with SQL Server running in your own environment? Select the correct option. SQL Managed Instance SQL Server Managed Instance is a fully-managed database product that Azure offers that has very close compatibility to SQL Server running in your own environment. There are a few things that are not supported, but those are relatively rare. _________________ API of Cosmos DB is used to work with data that has many different entities that share a relationship. - Table Gremlin The Gremlin API implements a graph database interface to Cosmos DB. A graph is a collection of data objects and directed relationships. Data is still held as a set of documents in Cosmos DB, but the Gremlin API enables you to perform graph queries over data. Using the Gremlin API you can walk through the objects and relationships in the graph to discover all manner of complex relationships. You need to use Transact-SQL to query files in Azure Data Lake Storage from an Azure Synapse Analytics data warehouse. What should you use to query the files? PolyBase PolyBase enables your SQL Server instance to process Transact-SQL queries that read data from external data sources. How much data can be stored in a single Table Storage account? Select the correct option. 500 TB Which Power BI tool helps build paginated reports? Select the correct option. Power BI Report Builder Power BI Report Builder is a tool that allows you to build paginated reports. Data ingestion is _______________________ - the process of transforming raw data into models containing meaningful information - capturing raw data streaming from various sources and storing it The purpose of data ingestion is to receive raw data and save it as quickly as possible. The data can then be processed and analyzed. When should you use a block blob, and when should you use a page blob? Select the correct option. - Use a block blob for unstructured data that requires random access to perform reads and writes. - Use a block blob for discrete objects that change infrequently. - Use a block blob for discrete objects that change infrequently. Scaling Azure SQL Database (up or down) does not negatively affect applications using that database. The users might not even notice. Select the correct option. Yes Scaling Azure SQL Database does not affect any applications or users using it at the time. Your company is designing a database that will contain session data for a website. The data will include notifications, personalization attributes, and products that are added to a shopping cart. Which type of data store will provide the lowest latency to retrieve the data? columnar A column-family database organizes data into rows and columns. In its simplest form, a column-family database can appear very similar to a relational database, at least conceptually. Some examples
are Which of the below statements are true? - ETL process has very high load times - ETL process has very high load times What type of analytics answers the question "what happened", such as a sales report for yesterday? Select the correct option. Descriptive Which of the following Azure Service uses the hierarchical namespace to store the data? Select the correct option. Azure Data Lake Storage A key mechanism that allows Azure Data Lake Storage Gen2 to provide file system performance at object storage scale and prices is the addition of a hierarchical namespace. The airline company needs to update the prices of tickets based on customer feedback, fuel price, and other factors. It analyses the data which gives the new prices of tickets. What type of analysis does this come under? Prescriptive analysis The production workload is facing technical issues with one of the servers. You need to collect the logs and analyze the logs to determine the root cause of the issue. What type of analysis would you perform? Diagnostic analysis What are the characteristics of an Online Transaction Processing (OLTP) workload? Select three correct options. - normalized data Transcribing videos is an example of _________________________ -
Prescriptive analysis Cognitive analysis Which of the following component is used to get messages from Twitter clients to Azure? Select the correct option. Event Hub
You have data stored in ADLS in text format. You need to load the data in Azure Synapse Analytics in a table in one of the databases. Which are the two components that you should define in order to use Polybase? Internal format External format 1. Create External data source - External data sources are used to connect to storage accounts. The complete
documentation is outlined here. You have an Azure Cosmos DB account that uses the Core (SQL) API. Which settings can you configure at the container level? Select two
correct options. - the throughput Which are the services in Azure that can be used to ingest the data? Select two correct options. - Event hub Match them up... 1 - Why did sales increase last month? Descriptive analytics Diagnostic analytics - Why did sales increase last month You manage an application that stores data in a shared folder on a Windows server. You need to move the shared folder to Azure Storage. Which type of Azure Storage should you use? - file Keywords: Shared folder, windows server => use File storage Which type of non-relational data store supports a flexible schema, stores data as JSON files, and stores the all the data for an entity in the same document? Select the correct option. - document Keywords: non-relational database, flexible schema, JSON => document db A document database is a type of nonrelational database that is designed to store and query data as JSON-like documents. Match the types of activities to the appropriate Azure Data Factory activities. 1 - Control A - Mapping Data Flow Control - Until Azure Data Studio is supported on ______________________________ platforms. - Windows, MacOS, & Linux - Windows, MacOS, Linux, iOS, & Android Which objects can be added to a Microsoft Power BI dashboard? Select all correct options. - an image Your company plans to load data from a customer relationship management (CRM) system to a data warehouse by using an extract, load, and transform (ELT) process. Where does data processing occur for each stage of the ELT process? 1 - Extract A - An in-memory digestion tool Extract - The CRM system. You are building a system that monitors the temperature throughout a set of office blocks and sets the air conditioning in each room in each block to maintain a pleasant ambient temperature. Your system has to manage the air conditioning in several thousand buildings spread across the country or region, and each building typically contains at least 100 air-conditioned rooms. What type of NoSQL datastore is most appropriate for capturing the temperature data to enable it to be processed quickly? - A column family database - A key-value store
Azure Data Factory supports a trigger that is scheduled at a predetermined time but can pretend it is running at another time. For instance, a job runs every day at NOON, but only processes the data received until midnight last night. What type of trigger is this called? - Time-series interval - Tumbling window trigger Match the types of data stores to the appropriate scenarios: 1 - Application Users and their Default Language A - Graph Key/Value - Application Users and their Default Language You need to design and model a database by using a graphical tool that supports project-oriented offline database development. What should you use? - Microsoft SQL Server Data Tools (SSDT) SQL Server Data Tools (SSDT) is a modern development tool for building SQL Server relational databases, databases in Azure SQL, Analysis Services (AS) data models, Integration Services (IS) packages, and Reporting Services (RS) reports. Using SSDT, you can create an offline database project and implement schema changes by adding, modifying, or deleting the definitions of objects (represented by scripts) in the project, without a connection to a server instance. _________________________ supports role-based access control (RBAC) at the file and folder level. - Azure Queue storage - Azure Data Lake storage Azure Data Lake Storage implements an access control model that supports both Azure role-based access control (Azure RBAC) and POSIX-like access control lists (ACLs). Which among the following statements is true with respect to the ETL process? Select the correct option. - ETL process has very high load times Extract, transform, and load (ETL) is a data pipeline used to collect data from various sources, transform the data according to business rules, and load it into a destination data store. Because of huge data, the process usually takes time to execute. You have a large amount of data held in files in Azure Data Lake storage. You want to retrieve the data in these files and use it to populate tables held in Azure Synapse Analytics. Which processing option is most appropriate? - Synapse SQL pool You can use PolyBase from a SQL pool to connect to the files in Azure Data Lake as external tables, and then ingest the data. Which statements are true? - You can use blob, table, queue, and file storage in the same Azure Storage account. - You can use blob, table, queue, and file storage in the same Azure Storage account. Which Azure SQL offering supports automatic database scaling and automatic pausing of the database during inactive periods? Select the correct option. - Azure SQL Database serverless SQL Database serverless is a new compute tier that optimizes price-performance and simplifies performance management for databases with intermittent and unpredictable usage. The serverless compute tier enjoys all the fully managed, built-in intelligence benefits of SQL Database and helps accelerate application development, minimize operational complexity and lower total costs. If you set up your SQL Database networking with "public endpoint", without any other actions, which type of user can connect to the database? Select the correct option. - No users Even with a public endpoint, SQL Database needs to have it's firewall configured to allow anyone in. By default, all access attempts are denied unless explicitly added to the firewall access list. What is a good example of a paginated report? Select the correct option. - An invoice A paginated report is one that is designed to be printed. It is static. An invoice is a good example of that. What is a security principal? Select the correct option. - An object that represents a user, group, service, or managed identity that is requesting access to Azure resources Azure authentication uses security principles to help determine whether a request to access service should be granted. Which among the following statement(s) is/are true with respect to the Azure SQL database? Select all correct options. - Azure SQL Database allows independent provisioning of throughput and storage What is the primary purpose of an index on a relational data table? Select the correct option. - To speed up SELECT queries so that they return faster Which one of the following statements is a characteristic of a relational database?In a relational database it consists of separate tables or related data.
What are the characteristics of a relational database quizlet?What are the characteristics of a Relational Database? Each relation (table) is made up of records, also called rows. - Each relation (table) must have a unique field which describes each record. This unique field is called a primary key.
Which of the following is a relational database?Popular examples of standard relational databases include Microsoft SQL Server, Oracle Database, MySQL and IBM DB2.
What is a relational database quizlet?Relational Database. A database consisting of more than two related tables. The relationship between the tables is created by placing a primary key of the primary in to the secondary table. Database Tables. Database tables stores in rows and records in an organised.
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Which one of the following statements is a characteristic of a relational database quizlet?
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