Free DP-203 Exam Braindumps (page: 50)

Page 50 of 94

You have an activity in an Azure Data Factory pipeline. The activity calls a stored procedure in a data warehouse in Azure Synapse Analytics and runs daily.
You need to verify the duration of the activity when it ran last. What should you use?

  1. activity runs in Azure Monitor
  2. Activity log in Azure Synapse Analytics
  3. the sys.dm_pdw_wait_stats data management view in Azure Synapse Analytics
  4. an Azure Resource Manager template

Answer(s): A

Explanation:

Monitor activity runs. To get a detailed view of the individual activity runs of a specific pipeline run, click on the pipeline name. Example:


The list view shows activity runs that correspond to each pipeline run. Hover over the specific activity run to get run-specific information such as the JSON input, JSON output, and detailed activity-specific monitoring experiences.


You can check the Duration.

Incorrect Answers:
C: sys.dm_pdw_wait_stats holds information related to the SQL Server OS state related to instances running on the different nodes.


Reference:

https://docs.microsoft.com/en-us/azure/data-factory/monitor-visually



You have an Azure Data Factory pipeline that is triggered hourly. The pipeline has had 100% success for the past seven days.

The pipeline execution fails, and two retries that occur 15 minutes apart also fail. The third failure returns the following error.

ErrorCode=UserErrorFileNotFound,'Type=Microsoft.DataTransfer.Common.Shared.HybridDeliveryException,Message=ADLS Gen2 operation failed for: Operation returned an invalid status code 'NotFound'. Account: 'contosoproduksouth'. Filesystem: wwi. Path: 'BIKES/CARBON/year=2021/month=01/day=10/hour=06'. ErrorCode: 'PathNotFound'. Message: 'The specified path does not exist.'. RequestId: '6d269b78-901f-001b-4924-e7a7bc000000'. TimeStamp: 'Sun, 10 Jan 2021 07:45:05

What is a possible cause of the error?

  1. The parameter used to generate year=2021/month=01/day=10/hour=06 was incorrect.
  2. From 06:00 to 07:00 on January 10, 2021, there was no data in wwi/BIKES/CARBON.
  3. From 06:00 to 07:00 on January 10, 2021, the file format of data in wwi/BIKES/CARBON was incorrect.
  4. The pipeline was triggered too early.

Answer(s): B



You have an Azure Synapse Analytics job that uses Scala. You need to view the status of the job.
What should you do?

  1. From Synapse Studio, select the workspace. From Monitor, select SQL requests.
  2. From Azure Monitor, run a Kusto query against the AzureDiagnostics table.
  3. From Synapse Studio, select the workspace. From Monitor, select Apache Sparks applications.
  4. From Azure Monitor, run a Kusto query against the SparkLoggingEvent_CL table.

Answer(s): C

Explanation:

Use Synapse Studio to monitor your Apache Spark applications. To monitor running Apache Spark application Open Monitor, then select Apache Spark applications. To view the details about the Apache Spark applications that are running, select the submitting Apache Spark application and view the details. If the Apache Spark application is still running, you can monitor the progress.


Reference:

https://docs.microsoft.com/en-us/azure/synapse-analytics/monitoring/apache-spark-applications



DRAG DROP (Drag and Drop is not supported)
You have an Azure Data Lake Storage Gen2 account that contains a JSON file for customers. The file contains two attributes named FirstName and LastName.

You need to copy the data from the JSON file to an Azure Synapse Analytics table by using Azure Databricks. A new column must be created that concatenates the FirstName and LastName values.
You create the following components:
-A destination table in Azure Synapse
-An Azure Blob storage container
-A service principal

In which order should you perform the actions? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Select and Place:

  1. See Explanation section for answer.

Answer(s): A

Explanation:




Step 1: Mount the Data Lake Storage onto DBFS
Begin with creating a file system in the Azure Data Lake Storage Gen2 account. Step 2: Read the file into a data frame.
You can load the json files as a data frame in Azure Databricks. Step 3: Perform transformations on the data frame.
Step 4: Specify a temporary folder to stage the data
Specify a temporary folder to use while moving data between Azure Databricks and Azure Synapse. Step 5: Write the results to a table in Azure Synapse.
You upload the transformed data frame into Azure Synapse. You use the Azure Synapse connector for Azure Databricks to directly upload a dataframe as a table in a Azure Synapse.


Reference:

https://docs.microsoft.com/en-us/azure/azure-databricks/databricks-extract-load-sql-data-warehouse



Page 50 of 94



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