Microsoft DP-203 Exam Dumps

Data Engineering on Microsoft Azure

Microsoft DP-203 Sample Questions

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 statedgoals. Some question sets might have more than one correct solution, while othersmight not have a correct solution.After you answer a question in this section, you will NOT be able to return to it. As aresult, these questions will not appear in the review screen.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 adata warehouse in Azure Synapse Analytics.Solution: You schedule an Azure Databricks job that executes an R notebook, and theninserts the data into the data warehouse.Does this meet the goal?

A. Yes
B. No

Answer: B

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Question # 2

You plan to use an Apache Spark pool in Azure Synapse Analytics to load data to an AzureData Lake Storage Gen2 account.You need to recommend which file format to use to store the data in the Data Lake Storageaccount. The solution must meet the following requirements:• Column names and data types must be defined within the files loaded to the Data LakeStorage account.• Data must be accessible by using queries from an Azure Synapse Analytics serverlessSQL pool.• Partition elimination must be supported without having to specify a specific partition.What should you recommend?

A. Delta Lake
B. JSON
C. CSV
D. ORC

Answer: D

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Question # 3

You are designing 2 solution that will use tables in Delta Lake on Azure Databricks.You need to minimize how long it takes to perform the following:*Queries against non-partitioned tables* Joins on non-partitioned columnsWhich two options should you include in the solution? Each correct answer presents part ofthe solution.(Choose Correct Answer and Give Explanation and References to Support the answersbased from Data Engineering on Microsoft Azure)

A. Z-Ordering
B. Apache Spark caching
C. dynamic file pruning (DFP)
D. the clone command

Answer: A,C

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Question # 4

You have an Azure subscription that contains an Azure Blob Storage account namedstorage1 and an Azure Synapse Analytics dedicated SQL pool named Pool1.You need to store data in storage1. The data will be read by Pool1. The solution must meetthe following requirements:Enable Pool1 to skip columns and rows that are unnecessary in a query.Automatically create column statistics.Minimize the size of files.Which type of file should you use?

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

Answer: B

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Question # 5

You have an Azure Databricks workspace that contains a Delta Lake dimension tablenamed Tablet. Table1 is a Type 2 slowly changing dimension (SCD) table. You need toapply updates from a source table to Table1. Which Apache Spark SQL operation shouldyou use?

A. CREATE
B. UPDATE
C. MERGE
D. ALTER

Answer: C

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Question # 6

You have an Azure Synapse Analytics dedicated SQL pool named Pool1. Pool1 contains atable named table1.You load 5 TB of data intotable1.You need to ensure that columnstore compression is maximized for table1.Which statement should you execute?

A. ALTER INDEX ALL on table1 REORGANIZE
B. ALTER INDEX ALL on table1 REBUILD
C. DBCC DBREINOEX (table1)
D. DBCC INDEXDEFRAG (pool1,tablel)

Answer: B

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Question # 7

You have two Azure Blob Storage accounts named account1 and account2?You plan to create an Azure Data Factory pipeline that will use scheduled intervals toreplicate newly created or modified blobs from account1 to account?You need to recommend a solution to implement the pipeline. The solution must meet thefollowing requirements:• Ensure that the pipeline only copies blobs that were created of modified since the mostrecent replication event.• Minimize the effort to create the pipeline. What should you recommend?

A. Create a pipeline that contains a flowlet.
B. Create a pipeline that contains a Data Flow activity.
C. Run the Copy Data tool and select Metadata-driven copy task.
D. Run the Copy Data tool and select Built-in copy task.

Answer: A

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Question # 8

You have an Azure Data Factory pipeline named pipeline1 that is invoked by a tumblingwindow trigger named Trigger1. Trigger1 has a recurrence of 60 minutes.You need to ensure that pipeline1 will execute only if the previous execution completessuccessfully.How should you configure the self-dependency for Trigger1?

A. offset: "-00:01:00" size: "00:01:00"
B. offset: "01:00:00" size: "-01:00:00"
C. offset: "01:00:00" size: "01:00:00"
D. offset: "-01:00:00" size: "01:00:00"

Answer: D

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Question # 9

You are building a data flow in Azure Data Factory that upserts data into a table in anAzure Synapse Analytics dedicated SQL pool.You need to add a transformation to the data flow. The transformation must specify logicindicating when a row from the input data must be upserted into the sink.Which type of transformation should you add to the data flow?

A. join
B. select
C. surrogate key
D. alter row

Answer: D

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Question # 10

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 adata warehouse in Azure Synapse Analytics.Solution: You use an Azure Data Factory schedule trigger to execute a pipeline thatexecutes an Azure Databricks notebook, and then inserts the data into the datawarehouse.Dow this meet the goal?

A. Yes
B. No

Answer: B

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Question # 11

You are designing an Azure Data Lake Storage solution that will transform raw JSON filesfor use in an analytical workload.You need to recommend a format for the transformed files. The solution must meet thefollowing requirements:Contain information about the data types of each column in the files.Support querying a subset of columns in the files.Support read-heavy analytical workloads.Minimize the file size.What should you recommend?

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

Answer: D

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Question # 12

You have an Azure subscription that contains an Azure Synapse Analytics workspacenamed ws1 and an Azure Cosmos D6 database account named Cosmos1 Costmos1contains a container named container 1 and ws1 contains a serverless1 SQL pool. you need to ensure that you can Query the data in container by using the serverless1 SQLpool.Which three actions should you perform? Each correct answer presents part of the solutionNOTE: Each correct selection is worth one point.

A. Enable Azure Synapse Link for Cosmos1
B. Disable the analytical store for container1.
C. In ws1. create a linked service that references Cosmos1
D. Enable the analytical store for container1
E. Disable indexing for container1

Answer: A,C,D

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Question # 13

You are designing a folder structure for the files m an Azure Data Lake Storage Gen2account. The account has one container that contains three years of data.You need to recommend a folder structure that meets the following requirements:• Supports partition elimination for queries by Azure Synapse Analytics serverless SQLpooh • Supports fast data retrieval for data from the current month• Simplifies data security management by departmentWhich folder structure should you recommend?

A. \YYY\MM\DD\Department\DataSource\DataFile_YYYMMMDD.parquet
B. \Depdftment\DataSource\YYY\MM\DataFile_YYYYMMDD.parquet
C. \DD\MM\YYYY\Department\DataSource\DataFile_DDMMYY.parquet
D. \DataSource\Department\YYYYMM\DataFile_YYYYMMDD.parquet

Answer: B

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Question # 14

You have an Azure Synapse Analytics dedicated SQL pod. You need to create a pipeline that will execute a stored procedure in the dedicated SQLpool and use the returned result set as the input (or a downstream activity. The solutionmust minimize development effort.Which Type of activity should you use in the pipeline?

A. Notebook
B. U-SQL
C. Script
D. Stored Procedure

Answer: D

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Question # 15

You have an Azure Synapse Analytics dedicated SQL pool that contains a table namedTable1. Table1 contains the following:One billion rowsA clustered columnstore index A hash-distributed column named Product KeyA column named Sales Date that is of the date data type and cannot be nullThirty million rows will be added to Table1 each month.You need to partition Table1 based on the Sales Date column. The solution must optimizequery performance and data loading.How often should you create a partition?

A. once per month
B. once per year
C. once per day
D. once per week

Answer: B

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