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Exam DP-200: Implementing an Azure Data Solution (beta) – Microsoft: https://www.microsoft.com/en-us/learning/exam-dp-200.aspx
Exam DP-200: Implementing an Azure Data Solution
Candidates for this exam are Azure data engineers who are responsible for data related tasks that include ingesting, egressing, and transforming data from multiple sources using various services and tools. The Azure data engineer collaborates with business stakeholders to identify and meet data requirements while designing and implementing the management, monitoring, security,and privacy of data using the full stack of Azure services to satisfy business needs.
Implement data storage solutions (25-30%)
Implement Azure cloud data warehouses
Implement No-SQL Databases
Implement Azure SQL Database
Implement hybrid data scenarios
Manage Azure DevOps Pipelines
Manage and develop data processing (30-35%)
Implement big data environments
Develop batch processing solutions
Develop streaming solutions
Develop integration solutions
Implement data migration
Automate Data Factory Pipelines
Manage data security (15-20%)
Manage source data access security
Configure authentication and authorization
Manage and enforce data policies and standards
Set up notifications
Monitor data solutions (10-15%)
Monitor data storage
Monitor databases for a specified scenario
Monitor data processing
Manage and troubleshoot Azure data solutions (10-15%)
Manage Optimization
Manage business continuity
Free test Microsoft other Certification DP-200 Exam questions and Answers
QUESTION 1
Note: This question is part of series of questions that present the same scenario. Each question in the series contains a
unique solution. Determine whether the solution meets the stated goals.
You develop data engineering solutions for a company.
A project requires the deployment of resources to Microsoft Azure for batch data processing on Azure HDInsight. Batch
processing will run daily and must:
Scale to minimize costs
Be monitored for cluster performance
You need to recommend a tool that will monitor clusters and provide information to suggest how to scale.
Solution: Monitor cluster load using the Ambari Web UI.
Does the solution meet the goal?
A. Yes
B. No
Correct Answer: B
Ambari Web UI does not provide information to suggest how to scale.
Instead monitor clusters by using Azure Log Analytics and HDInsight cluster management solutions.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-oms-log-analytics-tutorial
https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-manage-ambari
QUESTION 2
You need to ensure that phone-based polling data can be analyzed in the PollingData database.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions
to the answer are and arrange them in the correct order.
Select and Place:
Correct Answer:
All deployments must be performed by using Azure DevOps. Deployments must use templates used in multiple
environments No credentials or secrets should be used during deployments
QUESTION 3
You manage a financial computation data analysis process. Microsoft Azure virtual machines (VMs) run the process in
daily jobs, and store the results in virtual hard drives (VHDs.)
The VMs product results using data from the previous day and store the results in a snapshot of the VHD. When a new
month begins, a process creates a new VHD.
You must implement the following data retention requirements:
Daily results must be kept for 90 days Data for the current year must be available for weekly reports Data from the
previous 10 years must be stored for auditing purposes Data required for an audit must be produced within 10 days of a
request.
You need to enforce the data retention requirements while minimizing cost.
How should you configure the lifecycle policy? To answer, drag the appropriate JSON segments to the correct locations.
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