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[General] Microsoft High Pass-Rate DP-203 Latest Exam Forum–Pass DP-203 First Attempt

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【General】 Microsoft High Pass-Rate DP-203 Latest Exam Forum–Pass DP-203 First Attempt

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The DP-203 certification exam is a great way for professionals to showcase their expertise in the field of data engineering. It demonstrates that they have the necessary skills and knowledge to design and implement data solutions on Microsoft Azure. Data Engineering on Microsoft Azure certification is highly valued by employers and is considered a benchmark for measuring the competency of data engineers on Microsoft Azure.
Microsoft DP-203 (Data Engineering on Microsoft Azure) certification exam is an industry-recognized credential that validates a candidate's knowledge and skills in the field of data engineering on Azure. DP-203 Exam is designed for professionals who want to demonstrate their expertise in designing and implementing data solutions on the Azure platform. DP-203 exam tests the candidate's ability to work with various data technologies such as Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure Synapse Analytics.
Microsoft Data Engineering on Microsoft Azure Sample Questions (Q99-Q104):NEW QUESTION # 99
You have an Azure Databricks workspace named workspace! in the Standard pricing tier. Workspace1 contains an all-purpose cluster named cluster). You need to reduce the time it takes for cluster 1 to start and scale up. The solution must minimize costs. What should you do first?
  • A. Configure a global init script for workspace1.
  • B. Create a cluster policy in workspace1.
  • C. Create a pool in workspace1.
  • D. Upgrade workspace! to the Premium pricing tier.
Answer: C
Explanation:
Explanation
You can use Databricks Pools to Speed up your Data Pipelines and Scale Clusters Quickly.
Databricks Pools, a managed cache of virtual machine instances that enables clusters to start and scale 4 times faster.
Reference:
https://databricks.com/blog/2019 ... data-pipelines.html

NEW QUESTION # 100
You have an Azure Synapse Analytics job that uses Scala.
You need to view the status of the job.
What should you do?
  • A. From Synapse Studio, select the workspace. From Monitor, select Apache Sparks applications.
  • B. From Azure Monitor, run a Kusto query against the SparkLogying1 Event.CL table.
  • C. From Synapse Studio, select the workspace. From Monitor, select SQL requests.
  • D. From Azure Monitor, run a Kusto query against the AzureDiagnostics table.
Answer: A
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 ... -spark-applications

NEW QUESTION # 101
You need to create a partitioned table in an Azure Synapse Analytics dedicated SQL pool.
How should you complete the Transact-SQL statement? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Reference:
https://docs.microsoft.com/en-us ... sql-data-warehouse?

NEW QUESTION # 102
You have the Azure Synapse Analytics pipeline shown in the following exhibit.

You need to add a set variable activity to the pipeline to ensure that after the pipeline's completion, the status of the pipeline is always successful.
What should you configure for the set variable activity?
  • A. a failure dependency on the Upon Failure activity
  • B. a success dependency on the Business Activity That Fails activity
  • C. a skipped dependency on the Upon Success activity
  • D. a skipped dependency on the Upon Failure activity
Answer: A
Explanation:
A failure dependency means that the activity will run only if the previous activity fails. In this case, setting a failure dependency on the Upon Failure activity will ensure that the set variable activity will run after the pipeline fails and set the status of the pipeline to successful.

NEW QUESTION # 103
You have an Azure data factory that has the Git repository settings shown in the following exhibit.

Use the drop-down menus to select the answer choose that completes each statement based on the information presented in the graphic.
NOTE: Each correct answer is worth one point.

Answer:
Explanation:


NEW QUESTION # 104
......
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