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Microsoft DP-203: Data Engineering on Microsoft Azure is a certification exam that focuses on validating the skills and knowledge of data engineers in designing and implementing data solutions on the Azure platform. DP-203 exam is aimed at professionals who are responsible for designing, building, and maintaining data processing systems using Azure data services. DP-203 exam measures the ability of a candidate to design and implement data storage solutions, data processing solutions, and data security solutions using Azure services. Certification Topics of Microsoft DP-203 Exam
Design and implement data storage (40-45%)
Design and implement data security (10-15%)
Monitor and optimize data storage and data processing (10-15%)
Latest DP-203 Exam Torrent - DP-203 Quiz Prep & DP-203 Quiz TorrentPass4guide offers the best self-assessment software for the DP-203 exam. This desktop-based practice exam provides valid and up-to-date DP-203 practice test questions. You can customize the software by adjusting the time and number of Data Engineering on Microsoft Azure (DP-203) questions to your preferences. Additionally, you can try a free demo of the DP-203 Practice Test. This software keeps track of all your DP-203 practice exam attempts, allowing you to monitor your progress and improve your Data Engineering on Microsoft Azure (DP-203) exam preparation. Microsoft Data Engineering on Microsoft Azure Sample Questions (Q26-Q31):NEW QUESTION # 26
You are developing a solution using a Lambda architecture on Microsoft Azure.
The data at test layer must meet the following requirements:
Data storage:
* Serve as a repository (or high volumes of large files in various formats.
* Implement optimized storage for big data analytics workloads.
* Ensure that data can be organized using a hierarchical structure.
Batch processing:
* Use a managed solution for in-memory computation processing.
* Natively support Scala, Python, and R programming languages.
* Provide the ability to resize and terminate the cluster automatically.
Analytical data store:
* Support parallel processing.
* Use columnar storage.
* Support SQL-based languages.
You need to identify the correct technologies to build the Lambda architecture.
Which technologies should you use? To answer, select the appropriate options in the answer area NOTE: Each correct selection is worth one point. Answer:
Explanation:
Reference: https://docs.microsoft.com/en-us ... e-storage-namespace https://docs.microsoft.com/en-us ... es/batch-processing https://docs.microsoft.com/en-us ... se-overview-what-is
NEW QUESTION # 27
You have an Azure subscription that is linked to a hybrid Azure Active Directory (Azure AD) tenant. The subscription contains an Azure Synapse Analytics SQL pool named Pool1.
You need to recommend an authentication solution for Pool1. The solution must support multi-factor authentication (MFA) and database-level authentication.
Which authentication solution or solutions should you include in the recommendation? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point. Answer:
Explanation:
Reference: https://docs.microsoft.com/en-us ... ouse-authentication
NEW QUESTION # 28
You have an Azure Data Factory pipeline named Pipeline1!. Pipelinel contains a copy activity that sends data to an Azure Data Lake Storage Gen2 account. Pipeline 1 is executed by a schedule trigger.
You change the copy activity sink to a new storage account and merge the changes into the collaboration branch.
After Pipelinel executes, you discover that data is NOT copied to the new storage account.
You need to ensure that the data is copied to the new storage account.
What should you do?
A. Publish from the collaboration branch.
B. Create a pull request.
C. Configure the change feed of the new storage account.
D. Modify the schedule trigger.
Answer: A
Explanation:
Explanation
CI/CD lifecycle
* A development data factory is created and configured with Azure Repos Git. All developers should have permission to author Data Factory resources like pipelines and datasets.
* A developer creates a feature branch to make a change. They debug their pipeline runs with their most recent changes
* After a developer is satisfied with their changes, they create a pull request from their feature branch to the main or collaboration branch to get their changes reviewed by peers.
* After a pull request is approved and changes are merged in the main branch, the changes get published to the development factory.
Reference: https://docs.microsoft.com/en-us ... ntegration-delivery
NEW QUESTION # 29
You have an Azure data factory that connects to a Microsoft Purview account. The data factory is registered in Microsoft Purview.
You update a Data Factory pipeline.
You need to ensure that the updated lineage is available in Microsoft Purview.
What You have an Azure subscription that contains an Azure SQL database named DB1 and a storage account named storage1. The storage1 account contains a file named File1.txt. File1.txt contains the names of selected tables in DB1.
You need to use an Azure Synapse pipeline to copy data from the selected tables in DB1 to the files in storage1. The solution must meet the following requirements:
* The Copy activity in the pipeline must be parameterized to use the data in File1.txt to identify the source and destination of the copy.
* Copy activities must occur in parallel as often as possible.
Which two pipeline activities should you include in the pipeline? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A. ForEach
B. Get Metadata
C. Lookup
D. If Condition
Answer: B,D
Explanation:
Lookup: This is a control activity that retrieves a dataset from any of the supported data sources and makes it available for use by subsequent activities in the pipeline. You can use a Lookup activity to read File1.txt from storage1 and store its content as an array variable1.
ForEach: This is a control activity that iterates over a collection and executes specified activities in a loop. You can use a ForEach activity to loop over the array variable from the Lookup activity and pass each table name as a parameter to a Copy activity that copies data from DB1 to storage11.
NEW QUESTION # 30
You are building an Azure Data Factory solution to process data received from Azure Event Hubs, and then ingested into an Azure Data Lake Storage Gen2 container.
The data will be ingested every five minutes from devices into JSON files. The files have the following naming pattern.
/{deviceType}/in/{YYYY}/{MM}/{DD}/{HH}/{deviceID}_{YYYY}{MM}{DD}HH}{mm}.json You need to prepare the data for batch data processing so that there is one dataset per hour per deviceType. The solution must minimize read times.
How should you configure the sink for the copy activity? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point. Answer:
Explanation:
Reference: https://docs.microsoft.com/en-us ... -execution-triggers https://docs.microsoft.com/en-us ... nnector-file-system
NEW QUESTION # 31
......
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