Category: Microsoft Data and AI Exam Collection

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NEW QUESTION 161
You plan to create an Azure Databricks workspace that has a tiered structure. The workspace will contain the following three workloads:
– A workload for data engineers who will use Python and SQL.
– A workload for jobs that will run notebooks that use Python, Scala, and SQL.
– A workload that data scientists will use to perform ad hoc analysis in Scala and R.
The enterprise architecture team at your company identifies the following standards for Databricks environments:
– The data engineers must share a cluster.
– The job cluster will be managed by using a request process whereby data scientists and data engineers provide packaged notebooks for deployment to the cluster.
– All the data scientists must be assigned their own cluster that terminates automatically after 120 minutes of inactivity. Currently, there are three data scientists.
You need to create the Databricks clusters for the workloads.
Solution: You create a Standard cluster for each data scientist, a Standard cluster for the data engineers, and a High Concurrency cluster for the jobs.
Does this meet the goal?

A.    Yes
B.    No

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NEW QUESTION 165
You have SQL Server 2019 on an Azure virtual machine. You are troubleshooting performance issues for a query in a SQL Server instance. To gather more information, you query sys.dm_exec_requests and discover that the wait type is PAGELATCH_UP and the wait_resource is 2:3:905856. You need to improve system performance.
Solution: You shrink the transaction log file.
Does this meet the goal?

A.    Yes
B.    No

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NEW QUESTION 136
You have an Azure Storage account that contains 100 GB of files. The files contain rows of text and numerical values. 75% of the rows contain description data that has an average length of 1.1 MB. You plan to copy the data from the storage account to an enterprise data warehouse in Azure Synapse Analytics. You need to prepare the files to ensure that the data copies quickly.
Solution: You copy the files to a table that has a columnstore index.
Does this meet the goal?

A.    Yes
B.    No

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NEW QUESTION 127
You have an Azure Data Lake Storage account that contains a staging zone. You need to design a daily process to ingest incremental data from the staging zone, transform the data by executing an R script, and then insert the transformed data into a data warehouse in Azure Synapse Analytics.
Solution: You use an Azure Data Factory schedule trigger to execute a pipeline that executes mapping data flow, and then inserts the data into the data warehouse.
Does this meet the goal?

A.    Yes
B.    No

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NEW QUESTION 101
You have an Azure Storage account that contains 100 GB of files. The files contain text and numerical values. 75% of the rows contain description data that has an average length of 1.1 MB. You plan to copy the data from the storage account to an Azure SQL data warehouse. You need to prepare the files to ensure that the data copies quickly.
Solution: You modify the files to ensure that each row is more than 1 MB.
Does this meet the goal?

A.    Yes
B.    No

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NEW QUESTION 210
You are designing an Azure Cosmos DB database that will contain news articles. The articles will have the following properties: Category, Created Datetime, Publish Datetime, Author, Headline, Body Text, and Publish Status. Multiple articles will be published in each category daily, but no two stories in a category will be published simultaneously. Headlines may be updated over time. Publish Status will have the following values: draft, published, updated, and removed. Most articles will remain in the published or updated status. Publish Datetime will be populated only when Publish Status is set to published. You will serve the latest articles to websites for users to consume. You need to recommend a partition key for the database container. The solution must ensure that the articles are served to the websites as quickly as possible. Which partition key should you recommend?

A.    Publish Status
B.    Category + Created Datetime
C.    Headline
D.    Publish Date + Random Suffix

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NEW QUESTION 91
You have an Azure Synapse Analytics dedicated SQL pool that contains a table named Table1. You have files that are ingested and loaded into an Azure Data Lake Storage Gen2 container named container1. You plan to insert data from the files into Table1 and transform the data. Each row of data in the files will produce one row in the serving layer of Table1. You need to ensure that when the source data files are loaded to container1, the DateTime is stored as an additional column in Table1.
Solution: In an Azure Synapse Analytics pipeline, you use a Get Metadata activity that retrieves the DateTime of the files.
Does this meet the goal?

A.    Yes
B.    No