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NEW QUESTION 11
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 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 Windows Certificate Store
5. Validate configuration results and deploy the solution
Does the solution meet the goal?
- A. Yes
- B. No
Answer: B
Explanation:
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
NEW QUESTION 12
You have an Azure Cosmos DB database that uses the SQL API.
You need to delete stale data from the database automatically.
What should you use?
- A. Time to Live (TTL)
- B. schema on read
- C. Low Latency Analytical Processing (LLAP)
- D. soft delete
Answer: A
Explanation:
Explanation
With Time to Live or TTL, Azure Cosmos DB provides the ability to delete items automatically from a container after a certain time period. By default, you can set time to live at the container level and override the value on a per-item basis. After you set the TTL at a container or at an item level, Azure Cosmos DB will automatically remove these items after the time period, since the time they were last modified.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/time-to-live
NEW QUESTION 13
You develop data engineering solutions for a company. You must migrate data from Microsoft Azure Blob storage to an Azure SQL Data Warehouse for further transformation. You need to implement the solution.
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:
References:
https://github.com/MicrosoftDocs/azure-docs/blob/master/articles/sql-data-warehouse/load-data-from-azure-blob-storage-using-polybase.md
NEW QUESTION 14
You have an Azure Synapse Analytics SQL pool named Pool1 on a logical Microsoft SQL server named Server1.
You need to implement Transparent Data Encryption (TDE) on Pool1 by using a custom key named key1.
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:
1 - Assign a managed identity to Server1
2 - Create an Azure key vault and grant the managed identity permissions to the vault
3 - Add key1 to the Azure key vault
4 - Configure key1 as the TDE protector for Server1
5 - Enable TDE on Pool1
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/managed-instance/scripts/transparent-data-encryption-byok-powershell
NEW QUESTION 15
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:
Explanation
Data storage: Azure Data Lake Store
A key mechanism that allows Azure Data Lake Storage Gen2 to provide file system performance at object storage scale and prices is the addition of a hierarchical namespace. This allows the collection of objects/files within an account to be organized into a hierarchy of directories and nested subdirectories in the same way that the file system on your computer is organized. With the hierarchical namespace enabled, a storage account becomes capable of providing the scalability and cost-effectiveness of object storage, with file system semantics that are familiar to analytics engines and frameworks.
Batch processing: HD Insight Spark
Aparch Spark is an open-source, parallel-processing framework that supports in-memory processing to boost the performance of big-data analysis applications.
HDInsight is a managed Hadoop service. Use it deploy and manage Hadoop clusters in Azure. For batch processing, you can use Spark, Hive, Hive LLAP, MapReduce.
Languages: R, Python, Java, Scala, SQL
Analytic data store: SQL Data Warehouse
SQL Data Warehouse is a cloud-based Enterprise Data Warehouse (EDW) that uses Massively Parallel Processing (MPP).
SQL Data Warehouse stores data into relational tables with columnar storage.
References:
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-namespace
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/batch-processing
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-overview-what-is
NEW QUESTION 16
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 modified during the last 100 days.
Solution: You apply an expired tag to the blobs in the storage account.
Does this meet the goal?
- A. Yes
- B. No
Answer: B
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-portal
NEW QUESTION 17
You have an Azure data factory.
You need to ensure that pipeline-run data is retained for 120 days. The solution must ensure that you can query the data by using the Kusto query language.
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.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/monitor-using-azure-monitor
NEW QUESTION 18
You are implementing mapping data flows in Azure Data Factory to convert daily logs of taxi records into aggregated datasets.
You configure a data flow and receive the error shown in the following exhibit.
You need to resolve the error.
Which setting should you configure? To answer, select the appropriate setting in the answer area.
Answer:
Explanation:
Explanation
The Inspect tab provides a view into the metadata of the data stream that you're transforming. You can see column counts, the columns changed, the columns added, data types, the column order, and column references.
Inspect is a read-only view of your metadata. You don't need to have debug mode enabled to see metadata in the Inspect pane.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-data-flow-overview
NEW QUESTION 19
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.
A company uses Azure Data Lake Gen 1 Storage to store big data related to consumer behavior.
You need to implement logging.
Solution: Use information stored in Azure Active Directory reports.
Does the solution meet the goal?
- A. Yes
- B. No
Answer: B
Explanation:
Instead configure Azure Data Lake Storage diagnostics to store logs and metrics in a storage account.
References:
https://docs.microsoft.com/en-us/azure/data-lake-store/data-lake-store-diagnostic-logs
NEW QUESTION 20
Your company has on-premises Microsoft SQL Server instance.
The data engineering team plans to implement a process that copies data from the SQL Server instance to Azure Blob storage. The process must orchestrate and manage the data lifecycle.
You need to configure Azure Data Factory to connect to the SQL Server instance.
Which three 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: Deploy an Azure Data Factory
You need to create a data factory and start the Data Factory UI to create a pipeline in the data factory.
Step 2: From the on-premises network, install and configure a self-hosted runtime.
To use copy data from a SQL Server database that isn't publicly accessible, you need to set up a self-hosted integration runtime.
Step 3: Configure a linked service to connect to the SQL Server instance.
References:
https://docs.microsoft.com/en-us/azure/data-factory/connector-sql-server
NEW QUESTION 21
Your company uses Microsoft Azure SQL Database configure with Elastic pool. You use Elastic Database jobs to run queries across all databases in the pod.
You need to analyze, troubleshoot, and report on components responsible for running Elastic Database jobs.
You need to determine the component responsible for running job service tasks.
Which components should you use for each Elastic pool job services task? To answer, drag the appropriate component to the correct task. Each component 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:
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-job-automation-overview
NEW QUESTION 22
You are developing a data engineering solution for a company. The solution will store a large set of key-value pair data by using Microsoft Azure Cosmos DB
The solution has the following requirements:
* Data must be partitioned into multiple containers.
* Data containers must be configured separately.
* Data must be accessible from applications hosted around the world.
* The solution must minimize latency.
You need to provision Azure Cosmos DB
- A. Provision an Azure Cosmos DB account with the Azure Table API. Enable multi-region writes.
- B. Replicate the data globally by manually adding regions lo the Azure Cosmos DB account.
- C. Provision an Azure Cosmos DB account with the Azure Table API Enable geo-redundancy.
- D. Configure account-level throughput.
- E. Configure table-level throughput
Answer: A
Explanation:
Scale read and write throughput globally. You can enable every region to be writable and elastically scale reads and writes all around the world. The throughput that your application configures on an Azure Cosmos database or a container is guaranteed to be delivered across all regions associated with your Azure Cosmos account. The provisioned throughput is guaranteed up by financially backed SLAs.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/distribute-data-globally
NEW QUESTION 23
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.
A company uses Azure Data Lake Gen 1 Storage to store big data related to consumer behavior.
You need to implement logging.
Solution: Use information stored in Azure Active Directory reports.
Does the solution meet the goal?
- A. Yes
- B. No
Answer: B
Explanation:
Instead configure Azure Data Lake Storage diagnostics to store logs and metrics in a storage account.
Note:
You can enable diagnostic logging for your Azure Data Lake Storage Gen1 accounts, blobs, files, queues and tables.
Diagnostic logs aren't available for Data Lake Storage Gen2 accounts [as of August 2019].
References:
https://docs.microsoft.com/en-us/azure/data-lake-store/data-lake-store-diagnostic-logs
https://github.com/MicrosoftDocs/azure-docs/issues/34286
NEW QUESTION 24
You deploy an Azure SQL database named DB1 to an Azure SQL server named SQL1.
Currently, only the server admin has access to DB1.
An Azure Active Directory (Azure AD) group named Analysts contains all the users who must have access to DB1.
You have the following data security requirements:
* The Analysts group must have read-only access to all the views and tables in the Sales schema of DB1.
* A manager will decide who can access DB1. The manager will not interact directly with DB1.
* Users must not have to manage a separate password solely to access DB1.
Which four actions should you perform in sequence to meet the data security requirements? 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: From the Azure Portal, set the Active Directory admin for SQL1.
Provision an Azure Active Directory administrator for your Azure SQL Database server.
You can provision an Azure Active Directory administrator for your Azure SQL server in the Azure portal and by using PowerShell.
Step 2: On DB1, create a contained user for the Analysts group by using Transact-SQL Create contained database users in your database mapped to Azure AD identities.
To create an Azure AD-based contained database user (other than the server administrator that owns the database), connect to the database with an Azure AD identity, as a user with at least the ALTER ANY USER permission. Then use the following Transact-SQL syntax:
CREATE USER <Azure_AD_principal_name> FROM EXTERNAL PROVIDER;
Step 3: From Microsoft SQL Server Management Studio (SSMS), sign in to SQL1 by using the account set as the Active Directory admin.
Connect to the user database or data warehouse by using SSMS or SSDT
To confirm the Azure AD administrator is properly set up, connect to the master database using the Azure AD administrator account. To provision an Azure AD-based contained database user (other than the server administrator that owns the database), connect to the database with an Azure AD identity that has access to the database.
Step 4: On DB1, grant the VIEW and SELECT DEFINTION..
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-aad-authentication-configure
NEW QUESTION 25
You plan to deploy an Azure Cosmos DB database that supports multi-master replication.
You need to select a consistency level for the database to meet the following requirements:
* Provide a recovery point objective (RPO) of less than 15 minutes.
* Provide a recovery time objective (RTO) of zero minutes.
What are three possible consistency levels that you can select? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
- A. Strong
- B. Eventual
- C. Bounded Staleness
- D. Session
- E. Consistent Prefix
Answer: B,D,E
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels-choosing
NEW QUESTION 26
Each day, company plans to store hundreds of files in Azure Blob Storage and Azure Data Lake Storage. The company uses the parquet format.
You must develop a pipeline that meets the following requirements:
Process data every six hours
Offer interactive data analysis capabilities
Offer the ability to process data using solid-state drive (SSD) caching Use Directed Acyclic Graph(DAG) processing mechanisms Provide support for REST API calls to monitor processes Provide native support for Python Integrate with Microsoft Power BI You need to select the appropriate data technology to implement the pipeline.
Which data technology should you implement?
- A. Azure SQL Data Warehouse
- B. HDInsight Apache Hadoop cluster using MapReduce
- C. HDInsight Spark cluster
- D. Azure Stream Analytics
- E. HDInsight Apache Storm cluster
Answer: E
Explanation:
Explanation
Storm runs topologies instead of the Apache Hadoop MapReduce jobs that you might be familiar with. Storm topologies are composed of multiple components that are arranged in a directed acyclic graph (DAG). Data flows between the components in the graph. Each component consumes one or more data streams, and can optionally emit one or more streams.
Python can be used to develop Storm components.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/storm/apache-storm-overview
NEW QUESTION 27
Your company uses Microsoft Azure SQL Database configure with Elastic pool. You use Elastic Database jobs to run queries across all databases in the pod.
You need to analyze, troubleshoot, and report on components responsible for running Elastic Database jobs.
You need to determine the component responsible for running job service tasks.
Which components should you use for each Elastic pool job services task? To answer, drag the appropriate component to the correct task. Each component 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:
Explanation:
Execution results and diagnostics: Azure Storage
Job launcher and tracker: Job Service
Job metadata and state: Control database
The Job database is used for defining jobs and tracking the status and history of job executions. The Job database is also used to store agent metadata, logs, results, job definitions, and also contains many useful stored procedures, and other database objects, for creating, running, and managing jobs using T-SQL.
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-job-automation-overview
NEW QUESTION 28
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 replicate db1 to a new Azure SQL server named db1-copy10543936 in the US West region.
To complete this task, sign in to the Azure portal.
Answer:
Explanation:
See the explanation below.
Explanation
1. In the Azure portal, browse to the database db1-copy10543936 that you want to set up for geo-replication.
2. On the SQL database page, select geo-replication, and then select the region to create the secondary database: US West region
3. Select or configure the server and pricing tier for the secondary database.
4. Click Create to add the secondary.
5. The secondary database is created and the seeding process begins.
6. When the seeding process is complete, the secondary database displays its status.
Reference:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-active-geo-replication-portal
NEW QUESTION 29
You have a new Azure Data Factory environment.
You need to periodically analyze pipeline executions from the last 60 days to identify trends in execution durations. The solution must use Azure Log Analytics to query the data and create charts.
Which diagnostic settings should you configure in Data Factory? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Log type: PipelineRuns
A pipeline run in Azure Data Factory defines an instance of a pipeline execution.
Storage location: An Azure Storage account
Data Factory stores pipeline-run data for only 45 days. Use Monitor if you want to keep that data for a longer time. With Monitor, you can route diagnostic logs for analysis. You can also keep them in a storage account so that you have factory information for your chosen duration.
Save your diagnostic logs to a storage account for auditing or manual inspection. You can use the diagnostic settings to specify the retention time in days.
References:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipeline-execution-triggers
https://docs.microsoft.com/en-us/azure/data-factory/monitor-using-azure-monitor
NEW QUESTION 30
You are responsible for providing access to an Azure Data Lake Storage Gen2 account.
Your user account has contributor access to the storage account, and you have the application ID access key.
You plan to use PolyBase to load data into Azure SQL data warehouse.
You need to configure PolyBase to connect the data warehouse to the storage account.
Which three components should you create in sequence? To answer, move the appropriate components from the list of components to the answer are and arrange them in the correct order.
Answer:
Explanation:
Explanation
Step 1: a database scoped credential
To access your Data Lake Storage account, you will need to create a Database Master Key to encrypt your credential secret used in the next step. You then create a database scoped credential.
Step 2: an external data source
Create the external data source. Use the CREATE EXTERNAL DATA SOURCE command to store the location of the data. Provide the credential created in the previous step.
Step 3: an external file format
Configure data format: To import the data from Data Lake Storage, you need to specify the External File Format. This object defines how the files are written in Data Lake Storage.
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-load-from-azure-data-lake-store
NEW QUESTION 31
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 apply an expired tag to the blobs in the storage account.
Does this meet the goal?
- A. Yes
- B. No
Answer: B
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-portal
NEW QUESTION 32
You are creating a managed data warehouse solution on Microsoft Azure.
You must use PolyBase to retrieve data from Azure Blob storage that resides in parquet format and load the data into a large table called FactSalesOrderDetails.
You need to configure Azure SQL Data Warehouse to receive the data.
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:
1 - Create a master key on the database
2 - Create an external data source for Azure Blob storage
3 - Create an external file format to map parquet files.
4 - Create the external table FactSalesOrderDetails
References:
https://docs.microsoft.com/en-us/sql/relational-databases/polybase/polybase-configure-azure-blob-storage
NEW QUESTION 33
You plan to create a new single database instance of Microsoft Azure SQL Database.
The database must only allow communication from the data engineer's workstation. You must connect directly to the instance by using Microsoft SQL Server Management Studio.
You need to create and configure the Database. Which three Azure PowerShell cmdlets should you use to develop the solution? To answer, move the appropriate cmdlets from the list of cmdlets to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
Step 1: New-AzureSqlServer
Create a server.
Step 2: New-AzureRmSqlServerFirewallRule
New-AzureRmSqlServerFirewallRule creates a firewall rule for a SQL Database server.
Can be used to create a server firewall rule that allows access from the specified IP range.
Step 3: New-AzureRmSqlDatabase
Example: Create a database on a specified server
PS C:\>New-AzureRmSqlDatabase -ResourceGroupName "ResourceGroup01" -ServerName "Server01"
-DatabaseName "Database01
References:
https://docs.microsoft.com/en-us/azure/sql-database/scripts/sql-database-create-and-configure-database-powersh
NEW QUESTION 34
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 create an Azure Storage account named account10543936. The solution must meet the following requirements:
* Minimize storage costs.
* Ensure that account10543936 can store many image files.
* Ensure that account10543936 can quickly retrieve stored image files.
To complete this task, sign in to the Azure portal.
- A. Create a general-purpose v2 storage account, which provides access to all of the Azure Storage services: blobs, files, queues, tables, and disks.
1. On the Azure portal menu, select All services. In the list of resources, type Storage Accounts.
2. On the Storage Accounts window that appears, choose Add.
3. Select the subscription in which to create the storage account.
4. Under the Resource group field, select Create new. Enter the name for your new resource group, as shown in the following image.
5. Next, enter the name account10543936 for your storage account.
6. Select a location for your storage account, or use the default location.
7. Leave these fields set to their default values:
Deployment model: Resource Manager
Replication: Read-access geo-redundant storage (RA-GRS)
Access tier: Hot
8. Select Review + Create to review your storage account settings and create the account.
9. Select Create. - B. Create a general-purpose v2 storage account, which provides access to all of the Azure Storage services: blobs, files, queues, tables, and disks.
1. On the Azure portal menu, select All services. In the list of resources, type Storage Accounts. As you begin typing, the list filters based on your input. Select Storage Accounts.
2. On the Storage Accounts window that appears, choose Add.
3. Select the subscription in which to create the storage account.
4. Under the Resource group field, select Create new. Enter the name for your new resource group, as shown in the following image.
5. Next, enter the name account10543936 for your storage account.
6. Select a location for your storage account, or use the default location.
7. Leave these fields set to their default values:
Deployment model: Resource Manager
Performance: Standard
Account kind: StorageV2 (general-purpose v2)
Replication: Read-access geo-redundant storage (RA-GRS)
Access tier: Hot
8. Select Review + Create to review your storage account settings and create the account.
9. Select Create.
Answer: B
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/storage/common/storage-account-create
NEW QUESTION 35
......
Career Prospects
After getting all the required skills, passing Microsoft DP-200 along with Microsoft DP-201, and obtaining the certification, you will be able to show off your knowledge and get a prestigious position, a higher salary, or a promotion. Thus, you can pursue the following roles:
- Data Engineer;
- DevOps Capability Lead (Azure);
- Consulting, Cybersecurity, and Privacy Cloud Manager;
- Cloud Infrastructure Analyst.
- Associate Applied Researcher;
As for the average salary that you can earn, it is about $95,000 per year.
Implementing an Azure Data Solution DP-200 Exam
Implementing an Azure Data Solution DP-200 Exam which is related to Microsoft Certified Azure Data Engineer Associate Certification. The DP-200 exam validates the ability to designing and implementing data-driven solutions using the full stack of Azure services. Data engineers, Developers, and Administrators usually hold or pursue this certification and you can expect the same job role after completion of this certification.
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