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NEW QUESTION 86
You plan to deploy a Microsoft Azure SQL data warehouse and a web application. The data warehouse will ingest 5 TB of data from an on-premises Microsoft SQL Server database daily. The web application will query the data warehouse. You need to design a solution to ingest data into the data warehouse.
Solution: You use AzCopy to transfer the data as text files from SQL Server to Azure Blob storage, and then you use PolyBase to run Transact-SQL statements that refresh the data warehouse database.
Does this meet the goal?

A.    Yes
B.    No

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NEW QUESTION 46
You plan to use Azure platform tools to detect and analyze food items in smart refrigerators. To provide families with an integrated experience for grocery shopping and cooking, the refrigerators will connect to other smart appliances, such as stoves and microwave ovens, on a LAN. You plan to build an object recognition model by using the Microsoft Cognitive Toolkit. The object recognition model will receive input from the connected devices and send results to applications. The training data will be derived from more than 10 TB of images. You will convert the raw images to the sparse format. You need to ensure that a web service endpoint can receive image data and use an object recognition model to return the expected object and the confidence level of the model. The solution must minimize the effort required to generate the client code to access the web service. Which resource should you use?

A.    The edX Data Science Learning Dashboard.
B.    Azure Machine Learning Studio.
C.    Cortana Intelligence Gallery.
D.    The Data Science Virtual Machine.

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NEW QUESTION 106
You have an application named App1 that connects to a Microsoft Azure SQL database named AppDB1. App1 uses column store indexes as part of the database schema. You plan to deploy another Azure SQL database named AppDBDev that will be used as the development environment for App1. You create a copy of AppDB1 for AppDBDev. You need to identify which service tier must be used to store AppDBDev. The solution must minimize the cost to store AppDBDev. Which service tier should you identify?

A.    Basic
B.    Standard
C.    Premium
D.    Premium RS

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NEW QUESTION 41
You have an Apache Pig table named Sales in Apache HCatalog. You need to make the data in the table accessible from Apache Pig.
Solution: You use the following script:
A = STORE ‘Sales’ USING org.apache.hive.hcatalog.pig.HCatLoader();
Does this meet the goal?

A.    Yes
B.    No

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NEW QUESTION 79
You manage a large Microsoft Azure SQL database. The database contains data that changes several thousand times each day. You need to ensure that the performance of the database stays consistent when the data changes. What should you do?

A.    Update the statistics of all the tables in the database.
B.    Clear the procedure cache of the database.
C.    Run a consistency check on the tables in the database.
D.    Enable Extended Events for the server that contains the database.

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Case Study 1 – Relecloud
Case Study 2 – Litware, Inc.

NEW QUESTION 1
You need to recommend a platform architecture for a big data solution that meets the following requirements:
– Supports batch processing
– Provides a holding area for a 3-petabyte (PB) dataset
– Minimizes the development effort to implement the solution
– Provides near real time relational querying across a multi-terabyte (TB) dataset
Which two platform architectures should you include in the recommendation? (Each correct answer presents part of the solution. Choose two.)

A.    a Microsoft Azure SQL data warehouse
B.    a Microsoft Azure HDInsight Hadoop cluster
C.    a Microsoft SQL Server database
D.    a Microsoft Azure HDInsight Storm cluster
E.    the Microsoft Azure Table Storage

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NEW QUESTION 1
You have an Azure Machine Learning environment. You are evaluating whether to use R code or Python. Which three actions can you perform by using both R code and Python in the Machine Learning environment? (Each correct answer presents a complete solution. Choose three.)

A.    Preprocess, cleanse, and group data.
B.    Score a training model.
C.    Create visualizations.
D.    Create an untrained model that can be used with the Train Model module.
E.    Implement feature ranking.

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NEW QUESTION 1
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Microsoft SQL Server instance that has R Services (In-Database) installed. You need to monitor the R jobs that are sent to SQL Server.
Solution: You create an events trace configuration file and place the file in the same directory as the BXLServer process.
Does this meet the goal?

A.    Yes
B.    No

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NEW QUESTION 1
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You are implementing a batch processing solution by using Azure HDInsight. You have a table that contains sales data. You plan to implement a query that will return the number of orders by zip code. You need to minimize the execution time of the queries and to maximize the compression level of the resulting data. What should you do?

A.    Use a shuffle join in an Apache Hive query that stores the data in a JSON format.
B.    Use a broadcast join in an Apache Hive query that stores the data in an ORC format.
C.    Increase the number of spark.executor.cores in an Apache Spark job that stores the data in a text format.
D.    Increase the number of spark.executor.instances in an Apache Spark job that stores the data in a text format.
E.    Decrease the level of parallelism in an Apache Spark job that stores the data in a text format.
F.    Use an action in an Apache Oozie workflow that stores the data in a text format.
G.    Use an Azure Data Factory linked service that stores the data in Azure Data Lake.
H.    Use an Azure Data Factory linked service that stores the data in an Azure DocumentDB database.