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DP-203 Practice Questions — Page 3

You build a data warehouse in an Azure Synapse Analytics dedicated SQL pool.

Analysts write a complex SELECT query that contains multiple JOIN and CASE statements to transform data for use in inventory reports. The inventory reports will use the data and additional WHERE parameters depending on the report. The reports will be produced once daily.

You need to implement a solution to make the dataset available for the reports. The solution must minimize query times.

What should you implement?

  • A.an ordered clustered columnstore index
  • B.a materialized view
  • C.result set caching
  • D.a replicated table

You have an Azure Synapse Analytics workspace named WS1 that contains an Apache Spark pool named Pool1.

You plan to create a database named DB1 in Pool1.

You need to ensure that when tables are created in DB1, the tables are available automatically as external tables to the built-in serverless SQL pool.

Which format should you use for the tables in DB1?

  • A.CSV
  • B.ORC
  • C.JSON
  • D.Parquet

You are planning a solution to aggregate streaming data that originates in Apache Kafka and is output to Azure Data Lake Storage Gen2. The developers who will implement the stream processing solution use Java.

Which service should you recommend using to process the streaming data?

  • A.Azure Event Hubs
  • B.Azure Data Factory
  • C.Azure Stream Analytics
  • D.Azure Databricks

You plan to implement an Azure Data Lake Storage Gen2 container that will contain CSV files. The size of the files will vary based on the number of events that occur per hour.

File sizes range from 4 KB to 5 GB.

You need to ensure that the files stored in the container are optimized for batch processing.

What should you do?

  • A.Convert the files to JSON
  • B.Convert the files to Avro
  • C.Compress the files
  • D.Merge the files

You store files in an Azure Data Lake Storage Gen2 container. The container has the storage policy shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.

NOTE: Each correct selection is worth one point.

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Question 25

You are designing a financial transactions table in an Azure Synapse Analytics dedicated SQL pool. The table will have a clustered columnstore index and will include the following columns:

✑ TransactionType: 40 million rows per transaction type

✑ CustomerSegment: 4 million per customer segment

✑ TransactionMonth: 65 million rows per month

AccountType: 500 million per account type

You have the following query requirements:

✑ Analysts will most commonly analyze transactions for a given month.

✑ Transactions analysis will typically summarize transactions by transaction type, customer segment, and/or account type

You need to recommend a partition strategy for the table to minimize query times.

On which column should you recommend partitioning the table?

Question 26
  • A.CustomerSegment
  • B.AccountType
  • C.TransactionType
  • D.TransactionMonth

You plan to ingest streaming social media data by using Azure Stream Analytics. The data will be stored in files in Azure Data Lake Storage, and then consumed by using Azure Databricks and PolyBase in Azure Synapse Analytics.

You need to recommend a Stream Analytics data output format to ensure that the queries from Databricks and PolyBase against the files encounter the fewest possible errors. The solution must ensure that the files can be queried quickly and that the data type information is retained.

What should you recommend?

  • A.JSON
  • B.Parquet
  • C.CSV
  • D.Avro

You are designing a slowly changing dimension (SCD) for supplier data in an Azure Synapse Analytics dedicated SQL pool.

You plan to keep a record of changes to the available fields.

The supplier data contains the following columns.

Which three additional columns should you add to the data to create a Type 2 SCD? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

Question 28
  • A.surrogate primary key
  • B.effective start date
  • C.business key
  • D.last modified date
  • E.effective end date
  • F.foreign key

You have a Microsoft SQL Server database that uses a third normal form schema.

You plan to migrate the data in the database to a star schema in an Azure Synapse Analytics dedicated SQL pool.

You need to design the dimension tables. The solution must optimize read operations.

What should you include in the solution? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

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Question 29

You plan to develop a dataset named Purchases by using Azure Databricks. Purchases will contain the following columns:

✑ ProductID

✑ ItemPrice

✑ LineTotal

✑ Quantity

✑ StoreID

✑ Minute

✑ Month

✑ Hour

Year

✑ Day

You need to store the data to support hourly incremental load pipelines that will vary for each Store ID. The solution must minimize storage costs.

How should you complete the code? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

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Question 30