DP-203 Exam Dumps – Reliable Way to Pass and Get Certified

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If you are looking for a reliable and comprehensive way to prepare for your DP-203 certification exam, look no further than DP-203 exam questions. These DP-203 exam dumps questions are designed to help you assess your knowledge, identify your strengths and weaknesses, and improve your chances of passing the exam on the first try. These DP-203 dumps questions cover all the topics and concepts that are essential for the DP-203 exam, so you can be sure that you are fully prepared. Test Microsoft DP-203 free dumps below.

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1. You have an Azure data factor/ connected to a Git repository that contains the following branches:

• mam: Collaboration branch

• abc: Feature branch

• xyz: Feature branch

You save charges to a pipeline in the xyz branch.

You need to publish the changes to the live service

What should you do first?

2. You have an Azure Data Factory version 2 (V2) resource named Df1. Df1 contains a linked service.

You have an Azure Key vault named vault1 that contains an encryption key named key1.

You need to encrypt Df1 by using key1.

What should you do first?

3. You have a C# application that process data from an Azure IoT hub and performs complex transformations.

You need to replace the application with a real-time solution. The solution must reuse as much code as

possible from the existing application.

4. You have a table in an Azure Synapse Analytics dedicated SQL pool.

The table was created by using the following Transact-SQL statement.





You need to alter the table to meet the following requirements:

✑ Ensure that users can identify the current manager of employees.

✑ Support creating an employee reporting hierarchy for your entire company.

✑ Provide fast lookup of the managers’ attributes such as name and job title.

Which column should you add to the table?

5. 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?

6. 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 info the data warehouse.

Does this meet the goal?

7. 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.





What is a possible cause of the error?

8. You are designing an anomaly detection solution for streaming data from an Azure IoT hub.

The solution must meet the following requirements:

✑ Send the output to Azure Synapse.

✑ Identify spikes and dips in time series data.

✑ Minimize development and configuration effort.

Which should you include in the solution?

9. You have an Azure Synapse Analytics dedicated SQL pool named Pool1. Pool1 contains a table 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?

10. 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 stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

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 SOL.

✑ 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?


 

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