[Nov 29, 2021] Reliable DP-200 Exam Tips Test Pdf Exam Material
New 2021 DP-200 Test Tutorial (Updated 242 Questions)
NEW QUESTION 127
You develop data engineering solutions for a company.
A project requires analysis of real-time Twitter feeds. Posts that contain specific keywords must be stored and processed on Microsoft Azure and then displayed by using Microsoft Power BI. You need to implement the solution.
Which five actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
Step 1: Create an HDInisght cluster with the Spark cluster type
Step 2: Create a Jyputer Notebook
Step 3: Create a table
The Jupyter Notebook that you created in the previous step includes code to create an hvac table.
Step 4: Run a job that uses the Spark Streaming API to ingest data from Twitter Step 5: Load the hvac table into Power BI Desktop You use Power BI to create visualizations, reports, and dashboards from the Spark cluster data.
References:
https://acadgild.com/blog/streaming-twitter-data-using-spark
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-use-with-data-lake-store
NEW QUESTION 128
You have an alert on a SQL pool in Azure Synapse that uses the signal logic shown in the exhibit.
On the same day, failures occur at the following times:
* 08:01
* 08:03
* 08:04
* 08:06
* 08:11
* 08:16
* 08:19
The evaluation period starts on the hour.
At which times will alert notifications be sent?
- A. 08:05 and 08:10 only
- B. 08:10, 08:15, and 08:20
- C. 08:10 only
- D. 08:05 only
- E. 08:15 only
Answer: B
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/alerts-insights-configure-portal
NEW QUESTION 129
You manage security for a database that supports a line of business application.
Private and personal data stored in the database must be protected and encrypted.
You need to configure the database to use Transparent Data Encryption (TDE).
Which five actions should you perform in sequence? To answer, select the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
Step 1: Create a master key
Step 2: Create or obtain a certificate protected by the master key
Step 3: Set the context to the company database
Step 4: Create a database encryption key and protect it by the certificate Step 5: Set the database to use encryption Example code:
USE master;
GO
CREATE MASTER KEY ENCRYPTION BY PASSWORD = '<UseStrongPasswordHere>';
go
CREATE CERTIFICATE MyServerCert WITH SUBJECT = 'My DEK Certificate';
go
USE AdventureWorks2012;
GO
CREATE DATABASE ENCRYPTION KEY
WITH ALGORITHM = AES_128
ENCRYPTION BY SERVER CERTIFICATE MyServerCert;
GO
ALTER DATABASE AdventureWorks2012
SET ENCRYPTION ON;
GO
References:
https://docs.microsoft.com/en-us/sql/relational-databases/security/encryption/transparent-data-encryption
NEW QUESTION 130
You have a table named SalesFact in an Azure SQL data warehouse. SalesFact contains sales data from the past 36 months and has the following characteristics:
* Is partitioned by month
* Contains one billion rows
* Has clustered columnstore indexes
All the beginning of each month, you need to remove data SalesFact that is older than 36 months as quickly as possible.
Which three actions should you perform in sequence in a stored procedure? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
Step 1: Create an empty table named SalesFact_work that has the same schema as SalesFact.
Step 2: Switch the partition containing the stale data from SalesFact to SalesFact_Work.
SQL Data Warehouse supports partition splitting, merging, and switching. To switch partitions between two tables, you must ensure that the partitions align on their respective boundaries and that the table definitions match.
Loading data into partitions with partition switching is a convenient way stage new data in a table that is not visible to users the switch in the new data.
Step 3: Drop the SalesFact_Work table.
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-partition
NEW QUESTION 131
You plan to create a dimension table in Azure Data Warehouse that will be less than 1 GB.
You need to create the table to meet the following requirements:
Provide the fastest query time.
Minimize data movement.
Which type of table should you use?
- A. hash distributed
- B. heap
- C. replicated
- D. round-robin
Answer: C
Explanation:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/design-guidance-for-replicated-tables
NEW QUESTION 132
You have an enterprise data warehouse in Azure Synapse Analytics.
Using PolyBase, you create an external table named [Ext].[Items] to query Parquet files stored in Azure Data Lake Storage Gen2 without importing the data to the data warehouse.
The external table has three columns.
You discover that the Parquet files have a fourth column named ItemID.
Which command should you run to add the ItemID column to the external table?
- A. Option D
- B. Option B
- C. Option A
- D. Option C
Answer: C
Explanation:
Incorrect Answers:
B, D: Only these Data Definition Language (DDL) statements are allowed on external tables:
* CREATE TABLE and DROP TABLE
* CREATE STATISTICS and DROP STATISTICS
* CREATE VIEW and DROP VIEW
Reference:
https://docs.microsoft.com/en-us/sql/t-sql/statements/create-external-table-transact-sql
NEW QUESTION 133
You need to implement complex stateful business logic within an Azure Stream Analytics service.
Which type of function should you create in the Stream Analytics topology?
- A. JavaScript user-define functions (UDFs)
- B. JavaScript user-defined aggregates (UDA)
- C. Azure Machine Learning
Answer: B
Explanation:
Explanation
Azure Stream Analytics supports user-defined aggregates (UDA) written in JavaScript, it enables you to implement complex stateful business logic. Within UDA you have full control of the state data structure, state accumulation, state decumulation, and aggregate result computation.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-javascript-user-defined-aggregates
NEW QUESTION 134
You need to replace the SSIS process by using Data Factory.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
Scenario: A daily process creates reporting data in REPORTINGDB from the data in SALESDB. The process is implemented as a SQL Server Integration Services (SSIS) package that runs a stored procedure from SALESDB.
Step 1: Create a linked service to each database
Step 2: Create two datasets
You can create two datasets: InputDataset and OutputDataset. These datasets are of type AzureBlob. They refer to the Azure Storage linked service that you created in the previous section.
Step 3: Create a pipeline
You create and validate a pipeline with a copy activity that uses the input and output datasets.
Step 4: Add a copy activity
References:
https://docs.microsoft.com/en-us/azure/data-factory/quickstart-create-data-factory-portal
NEW QUESTION 135
You have the following Azure Stream Analytics query.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://azure.microsoft.com/en-in/blog/maximize-throughput-with-repartitioning-in-azure-stream-analytics/
NEW QUESTION 136
You have the following Azure Stream Analytics query.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://azure.microsoft.com/en-in/blog/maximize-throughput-with-repartitioning-in-azure-stream-analytics/
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-streaming-unit-consumption
NEW QUESTION 137
You need to build a solution to collect the telemetry data for Race Control.
What should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
API: MongoDB
Consistency level: Strong
Use the strongest consistency Strong to minimize convergence time.
Scenario: The data must be written to the Azure datacentre closest to each race and must converge in the least amount of time.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels
Topic 4, ADatum Corporation
Case study
Overview
ADatum Corporation is a retailer that sells products through two sales channels: retail stores and a website.
Existing Environment
ADatum has one database server that has Microsoft SQL Server 2016 installed. The server hosts three mission-critical databases named SALESDB, DOCDB, and REPORTINGDB.
SALESDB collects data from the stored and the website.
DOCDB stored documents that connect to the sales data in SALESDB. The documents are stored in two different JSON formats based on the sales channel.
REPORTINGDB stores reporting data and contains server columnstore indexes. A daily process creates reporting data in REPORTINGDB from the data in SALESDB. The process is implemented as a SQL Server Integration Services (SSIS) package that runs a stored procedure from SALESDB.
Requirements
Planned Changes
ADatum plans to move the current data infrastructure to Azure. The new infrastructure has the following requirements:
* Migrate SALESDB and REPORTINGDB to an Azure SQL database.
* Migrate DOCDB to Azure Cosmos DB.
* The sales data including the documents in JSON format, must be gathered as it arrives and analyzed online by using Azure Stream Analytics. The analytic process will perform aggregations that must be done continuously, without gaps, and without overlapping.
* As they arrive, all the sales documents in JSON format must be transformed into one consistent format.
* Azure Data Factory will replace the SSIS process of copying the data from SALESDB to REPORTINGDB.
Technical Requirements
The new Azure data infrastructure must meet the following technical requirements:
* Data in SALESDB must encrypted by using Transparent Data Encryption (TDE). The encryption must use your own key.
* SALESDB must be restorable to any given minute within the past three weeks.
* Real-time processing must be monitored to ensure that workloads are sized properly based on actual usage patterns.
* Missing indexes must be created automatically for REPORTINGDB.
* Disk IO, CPU, and memory usage must be monitored for SALESDB.
NEW QUESTION 138
You have a data warehouse in Azure Synapse Analytics.
You need to ensure c rest.
What should you enable?
- A. Transparent Data Encryption (TDE)
- B. Advanced Data Security for this database
- C. Secure transfer required
- D. Always Encrypted for all columns
Answer: A
NEW QUESTION 139
Use the following login credentials as needed:
Azure Username: xxxxx
Azure Password: xxxxx
The following information is for technical support purposes only:
Lab Instance: 10543936
Your company's security policy states that administrators must be able to review a list of the failed logins to an Azure SQL database named db1 during the previous 30 days.
You need to modify your Azure environment to meet the security policy requirements.
To complete this task, sign in to the Azure portal.
Answer:
Explanation:
See the explanation below.
Explanation
Set up auditing for your database
The following section describes the configuration of auditing using the Azure portal.
1. Go to the Azure portal.
2. Navigate to Auditing under the Security heading in your SQL database db1/server pane
3. If you prefer to enable auditing on the database level, switch Auditing to ON.
Reference:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-auditing
NEW QUESTION 140
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.
Answer:
Explanation:
Explanation:
Scenario:
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
NEW QUESTION 141
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 questions 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 need to configure data encryption for external applications.
Solution:
1. Access the Always Encrypted Wizard in SQL Server Management Studio
2. Select the column to be encrypted
3. Set the encryption type to Deterministic
4. Configure the master key to use the Azure Key Vault
5. Validate configuration results and deploy the solution
Does the solution meet the goal?
- A. No
- B. Yes
Answer: B
Explanation:
We use the Azure Key Vault, not the Windows Certificate Store, to store the master key.
Note: The Master Key Configuration page is where you set up your CMK (Column Master Key) and select the key store provider where the CMK will be stored. Currently, you can store a CMK in the Windows certificate store, Azure Key Vault, or a hardware security module (HSM).
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-always-encrypted-azure-key-vault Manage data security Testlet 4 Case study Overview ADatum Corporation is a retailer that sells products through two sales channels: retail stores and a website.
Existing Environment
ADatum has one database server that has Microsoft SQL Server 2016 installed. The server hosts three mission-critical databases named SALESDB, DOCDB, and REPORTINGDB.
SALESDB collects data from the stored and the website.
DOCDB stored documents that connect to the sales data in SALESDB. The documents are stored in two different JSON formats based on the sales channel.
REPORTINGDB stores reporting data and contains server columnstore indexes. A daily process creates reporting data in REPORTINGDB from the data in SALESDB. The process is implemented as a SQL Server Integration Services (SSIS) package that runs a stored procedure from SALESDB.
Requirements
Planned Changes
ADatum plans to move the current data infrastructure to Azure. The new infrastructure has the following requirements:
* Migrate SALESDB and REPORTINGDB to an Azure SQL database.
* Migrate DOCDB to Azure Cosmos DB.
* The sales data including the documents in JSON format, must be gathered as it arrives and analyzed online by using Azure Stream Analytics. The analytic process will perform aggregations that must be done continuously, without gaps, and without overlapping.
* As they arrive, all the sales documents in JSON format must be transformed into one consistent format.
* Azure Data Factory will replace the SSIS process of copying the data from SALESDB to REPORTINGDB.
Technical Requirements
The new Azure data infrastructure must meet the following technical requirements:
* Data in SALESDB must encrypted by using Transparent Data Encryption (TDE). The encryption must use your own key.
* SALESDB must be restorable to any given minute within the past three weeks.
* Real-time processing must be monitored to ensure that workloads are sized properly based on actual usage patterns.
* Missing indexes must be created automatically for REPORTINGDB.
* Disk IO, CPU, and memory usage must be monitored for SALESDB.
Monitor and optimize data solutions
Question Set 1
NEW QUESTION 142
You have an Azure data factory.
You need to examine the pipeline failures from the last 60 days.
What should you use?
- A. the Activity log blade for the Data Factory resource
- B. Azure Monitor
- C. the Resource health blade for the Data Factory resource
- D. the Monitor & Manage app in Data Factory
Answer: B
Explanation:
Data Factory stores pipeline-run data for only 45 days. Use Azure Monitor if you want to keep that data for a longer time. With Monitor, you can route diagnostic logs for analysis to multiple different targets.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/monitor-using-azure-monitor
NEW QUESTION 143
You plan to monitor an Azure data factory by using the Monitor & Manage app.
You need to identify the status and duration of activities that reference a table in a source database.
Which three actions should you perform in sequence? To answer, move the actions from the list of actions to the answer are and arrange them in the correct order.
Answer:
Explanation:
Explanation
Step 1: From the Data Factory authoring UI, generate a user property for Source on all activities.
Step 2: From the Data Factory monitoring app, add the Source user property to Activity Runs table.
You can promote any pipeline activity property as a user property so that it becomes an entity that you can monitor. For example, you can promote the Source and Destination properties of the copy activity in your pipeline as user properties. You can also select Auto Generate to generate the Source and Destination user properties for a copy activity.
Step 3: From the Data Factory authoring UI, publish the pipelines
Publish output data to data stores such as Azure SQL Data Warehouse for business intelligence (BI) applications to consume.
References:
https://docs.microsoft.com/en-us/azure/data-factory/monitor-visually
NEW QUESTION 144
You manage a Microsoft Azure SQL Data Warehouse Gen 2.
Users report slow performance when they run commonly used queries. Users do not report performance changes for infrequently used queries You need to monitor resource utilization to determine the source of the performance issues. Which metric should you monitor?
- A. Local tempdb percentage
- B. Cache used percentage
- C. CPU percentage
- D. WU percentage
Answer: A
NEW QUESTION 145 
Use the following login credentials as needed:
Azure Username: xxxxx
Azure Password: xxxxx
The following information is for technical support purposes only:
Lab Instance: 10277521
You plan to create large data sets on db2.
You need to ensure that missing indexes are created automatically by Azure in db2. The solution must apply ONLY to db2.
To complete this task, sign in to the Azure portal.
Answer:
Explanation:
See the explanation below.
Explanation
1. To enable automatic tuning on Azure SQL Database logical server, navigate to the server in Azure portal and then select Automatic tuning in the menu.
2. Select database db2
3. Click the Apply button
Reference:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-automatic-tuning-enable
NEW QUESTION 146
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 questions 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 have an Azure subscription that contains an Azure Storage account.
You plan to implement changes to a data storage solution to meet regulatory and compliance standards.
Every day, Azure needs to identify and delete blobs that were NOT modified during the last 100 days.
Solution: You schedule an Azure Data Factory pipeline.
Does this meet the goal?
- A. No
- B. Yes
Answer: A
Explanation:
Explanation
Instead apply an Azure Blob storage lifecycle policy.
Reference:
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-lifecycle-management-concepts?tabs=azure-porta
NEW QUESTION 147
What should you include in the Data Factory pipeline for Race Central?
- A. a copy activity that uses a stored procedure as a source
- B. a copy activity that contains schema mappings
- C. a filter activity that has a condition
- D. a delete activity that has logging enabled
Answer: B
Explanation:
Scenario:
An Azure Data Factory pipeline must be used to move data from Cosmos DB to SQL Database for Race Central. If the data load takes longer than 20 minutes, configuration changes must be made to Data Factory.
The telemetry data is sent to a MongoDB database. A custom application then moves the data to databases in SQL Server 2017. The telemetry data in MongoDB has more than 500 attributes. The application changes the attribute names when the data is moved to SQL Server 2017.
You can copy data to or from Azure Cosmos DB (SQL API) by using Azure Data Factory pipeline.
Column mapping applies when copying data from source to sink. By default, copy activity map source data to sink by column names. You can specify explicit mapping to customize the column mapping based on your need. More specifically, copy activity:
Read the data from source and determine the source schema
1. Use default column mapping to map columns by name, or apply explicit column mapping if specified.
2. Write the data to sink
3. Write the data to sink
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/copy-activity-schema-and-type-mapping Manage and develop data processing Testlet 5 Case study This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Overview
ADatum Corporation is a retailer that sells products through two sales channels: retail stores and a website.
Existing Environment
ADatum has one database server that has Microsoft SQL Server 2016 installed. The server hosts three mission-critical databases named SALESDB, DOCDB, and REPORTINGDB.
SALESDB collects data from the stored and the website.
DOCDB stored documents that connect to the sales data in SALESDB. The documents are stored in two different JSON formats based on the sales channel.
REPORTINGDB stores reporting data and contains server columnstore indexes. A daily process creates reporting data in REPORTINGDB from the data in SALESDB. The process is implemented as a SQL Server Integration Services (SSIS) package that runs a stored procedure from SALESDB.
Requirements
Planned Changes
ADatum plans to move the current data infrastructure to Azure. The new infrastructure has the following requirements:
* Migrate SALESDB and REPORTINGDB to an Azure SQL database.
* Migrate DOCDB to Azure Cosmos DB.
* The sales data, including the documents in JSON format, must be gathered as it arrives and analyzed online by using Azure Stream Analytics. The analytic process will perform aggregations that must be done continuously, without gaps, and without overlapping.
* As they arrive, all the sales documents in JSON format must be transformed into one consistent format.
* Azure Data Factory will replace the SSIS process of copying the data from SALESDB to REPORTINGDB.
Technical Requirements
The new Azure data infrastructure must meet the following technical requirements:
* Data in SALESDB must encrypted by using Transparent Data Encryption (TDE). The encryption must use your own key.
* SALESDB must be restorable to any given minute within the past three weeks.
* Real-time processing must be monitored to ensure that workloads are sized properly based on actual usage patterns.
* Missing indexes must be created automatically for REPORTINGDB.
* Disk IO, CPU, and memory usage must be monitored for SALESDB.
NEW QUESTION 148
SIMULATION
Use the following login credentials as needed:
Azure Username: xxxxx
Azure Password: xxxxx
The following information is for technical support purposes only:
Lab Instance: 10543936
You need to ensure that you can recover any blob data from an Azure Storage account named storage10543936 up to 10 days after the data is deleted.
To complete this task, sign in to the Azure portal.
- A. Enable soft delete for blobs on your storage account by using Azure portal:
1. In the Azure portal, select your storage account.
2. Navigate to the Data Protection option under Blob Service.
3. Click Enabled under Blob soft delete
4. Enter the number of days you want to retain for under Retention policies. Here enter 10.
5. Choose the Save button to confirm your Data Protection settings
Note: Azure Storage now offers soft delete for blob objects so that you can more easily recover your data when it is erroneously modified or deleted by an application or other storage account user. Currently you can retain soft deleted data for between 1 and 365 days. - B. Enable soft delete for blobs on your storage account by using Azure portal:
1. In the Azure portal, select your storage account.
2. Navigate to the Data Protection option under Blob Service.
3. Click Enabled under Blob soft delete
4. Enter the number of days you want to retain for under Retention policies. Here enter 10.
5. Choose the Save button to confirm your Data Protection settings
Note: Azure Storage now offers soft delete for blob objects so that you can more easily recover your data when it is erroneously modified or deleted by an application or other storage account user. Currently you can retain soft deleted data for between 1 and 365 days.
Answer: A
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-blob-soft-delete
NEW QUESTION 149
Your company plans to create an event processing engine to handle streaming data from Twitter.
The data engineering team uses Azure Event Hubs to ingest the streaming data.
You need to implement a solution that uses Azure Databricks to receive the streaming data from the Azure Event Hubs.
Which three actions should you recommend be performed in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
Step 1: Deploy the Azure Databricks service
Create an Azure Databricks workspace by setting up an Azure Databricks Service.
Step 2: Deploy a Spark cluster and then attach the required libraries to the cluster.
To create a Spark cluster in Databricks, in the Azure portal, go to the Databricks workspace that you created, and then select Launch Workspace.
Attach libraries to Spark cluster: you use the Twitter APIs to send tweets to Event Hubs. You also use the Apache Spark Event Hubs connector to read and write data into Azure Event Hubs. To use these APIs as part of your cluster, add them as libraries to Azure Databricks and associate them with your Spark cluster.
Step 3: Create and configure a Notebook that consumes the streaming data.
You create a notebook named ReadTweetsFromEventhub in Databricks workspace.
ReadTweetsFromEventHub is a consumer notebook you use to read the tweets from Event Hubs.
References:
https://docs.microsoft.com/en-us/azure/azure-databricks/databricks-stream-from-eventhubs
NEW QUESTION 150
You develop data engineering solutions for a company.
You need to deploy a Microsoft Azure Stream Analytics job for an IoT solution. The solution must:
* Minimize latency.
* Minimize bandwidth usage between the job and IoT device.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
NEW QUESTION 151
......
Nowadays, being an Azure Data Engineer is very popular among the IT specialists, so Microsoft DP-200 is one of the exams that are taken more than others. This test is part of the Microsoft Certified: Azure Data Engineer Associate certification, which also requires passing Microsoft DP-201.
DP-200 Cert Guide PDF 100% Cover Real Exam Questions: https://www.exam4pdf.com/DP-200-dumps-torrent.html
