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NEW QUESTION 1
Your company uses Azure SQL Database and Azure Blob storage.
All data at rest must be encrypted by using the company's own key. The solution must minimize administrative effort and the impact to applications which use the database.
You need to configure security.
What should you implement? To answer, select the appropriate option in the answer area. NOTE: Each correct selection is worth one point.
- A. Mastered
- B. Not Mastered
Answer: A
Explanation: 
NEW QUESTION 2
Note: This question is part of series of questions that present the same scenario. Each question in the series contain 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: Download Azure HDInsight cluster logs by using Azure PowerShell.
Does the solution meet the goal?
- A. Yes
- B. No
Answer: B
Explanation:
Reference:
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
NEW QUESTION 3
You are designing a new Lambda architecture on Microsoft Azure. The real-time processing layer must meet the following requirements: Ingestion:
Receive millions of events per second
Act as a fully managed Platform-as-a-Service (PaaS) solution
Integrate with Azure Functions
Stream processing:
Process on a per-job basis
Provide seamless connectivity with Azure services
Use a SQL-based query language
Analytical data store:
Act as a managed service
Use a document store
Provide data encryption at rest
You need to identify the correct technologies to build the Lambda architecture using minimal effort. Which technologies should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
- A. Mastered
- B. Not Mastered
Answer: A
Explanation:
Box 1: Azure Event Hubs
This portion of a streaming architecture is often referred to as stream buffering. Options include Azure Event Hubs, Azure IoT Hub, and Kafka.
NEW QUESTION 4
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.
- A. Mastered
- B. Not Mastered
Answer: A
Explanation: 
NEW QUESTION 5
You develop data engineering solutions for a company.
You must integrate the company’s on-premises Microsoft SQL Server data with Microsoft Azure SQL Database. Data must be transformed incrementally.
You need to implement the data integration solution.
Which tool should you use to configure a pipeline to copy data?
- A. Use the Copy Data tool with Blob storage linked service as the source
- B. Use Azure PowerShell with SQL Server linked service as a source
- C. Use Azure Data Factory UI with Blob storage linked service as a source
- D. Use the .NET Data Factory API with Blob storage linked service as the source
Answer: C
Explanation:
The Integration Runtime is a customer managed data integration infrastructure used by Azure Data Factory to provide data integration capabilities across different network environments.
A linked service defines the information needed for Azure Data Factory to connect to a data resource. We have three resources in this scenario for which linked services are needed:
On-premises SQL Server
Azure Blob Storage
Azure SQL database
Note: Azure Data Factory is a fully managed cloud-based data integration service that orchestrates and automates the movement and transformation of data. The key concept in the ADF model is pipeline. A pipeline is a logical grouping of Activities, each of which defines the actions to perform on the data contained in Datasets. Linked services are used to define the information needed for Data Factory to connect to the data resources.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/move-sql-azure-adf
NEW QUESTION 6
You manage a process that performs analysis of daily web traffic logs on an HDInsight cluster. Each of 250 web servers generates approximately gigabytes (GB) of log data each day. All log data is stored in a single folder in Microsoft Azure Data Lake Storage Gen 2.
You need to improve the performance of the process.
Which two changes should you make? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
- A. Combine the daily log files for all servers into one file
- B. Increase the value of the mapreduce.map.memory parameter
- C. Move the log files into folders so that each day’s logs are in their own folder
- D. Increase the number of worker nodes
- E. Increase the value of the hive.tez.container.size parameter
Answer: AC
Explanation:
A: Typically, analytics engines such as HDInsight and Azure Data Lake Analytics have a per-file overhead. If you store your data as many small files, this can negatively affect performance. In general, organize your data into larger sized files for better performance (256MB to 100GB in size). Some engines and applications might have trouble efficiently processing files that are greater than 100GB in size.
C: For Hive workloads, partition pruning of time-series data can help some queries read only a subset of the data which improves performance.
Those pipelines that ingest time-series data, often place their files with a very structured naming for files and folders. Below is a very common example we see for data that is structured by date:
DataSetYYYYMMDDdatafile_YYYY_MM_DD.tsv
Notice that the datetime information appears both as folders and in the filename. References:
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-performance-tuning-guidance
NEW QUESTION 7
You develop data engineering solutions for a company. The company has on-premises Microsoft SQL Server databases at multiple locations.
The company must integrate data with Microsoft Power BI and Microsoft Azure Logic Apps. The solution must avoid single points of failure during connection and transfer to the cloud. The solution must also minimize latency.
You need to secure the transfer of data between on-premises databases and Microsoft Azure.
What should you do?
- A. Install a standalone on-premises Azure data gateway at each location
- B. Install an on-premises data gateway in personal mode at each location
- C. Install an Azure on-premises data gateway at the primary location
- D. Install an Azure on-premises data gateway as a cluster at each location
Answer: D
Explanation:
You can create high availability clusters of On-premises data gateway installations, to ensure your organization can access on-premises data resources used in Power BI reports and dashboards. Such clusters allow gateway administrators to group gateways to avoid single points of failure in accessing on-premises data resources. The Power BI service always uses the primary gateway in the cluster, unless it’s not available. In that case, the service switches to the next gateway in the cluster, and so on.
References:
https://docs.microsoft.com/en-us/power-bi/service-gateway-high-availability-clusters
NEW QUESTION 8
You are developing a solution to visualize multiple terabytes of geospatial data. The solution has the following requirements:
•Data must be encrypted.
•Data must be accessible by multiple resources on Microsoft Azure. You need to provision storage for the solution.
Which four actions should you perform in sequence? To answer, move the appropriate action from the list of actions to the answer area and arrange them in the correct order.
- A. Mastered
- B. Not Mastered
Answer: A
Explanation: 
NEW QUESTION 9
You need to mask tier 1 data. Which functions should you use? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.
- A. Mastered
- B. Not Mastered
Answer: A
Explanation:
A: Default
Full masking according to the data types of the designated fields.
For string data types, use XXXX or fewer Xs if the size of the field is less than 4 characters (char, nchar, varchar, nvarchar, text, ntext).
B: email
C: Custom text
Custom StringMasking method which exposes the first and last letters and adds a custom padding string in the middle. prefix,[padding],suffix
Tier 1 Database must implement data masking using the following masking logic:
References:
https://docs.microsoft.com/en-us/sql/relational-databases/security/dynamic-data-masking
NEW QUESTION 10
You implement an event processing solution using Microsoft Azure Stream Analytics. The solution must meet the following requirements:
•Ingest data from Blob storage
• Analyze data in real time
•Store processed data in Azure Cosmos DB
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.
- A. Mastered
- B. Not Mastered
Answer: A
Explanation: 
NEW QUESTION 11
You manage the Microsoft Azure Databricks environment for a company. You must be able to access a private Azure Blob Storage account. Data must be available to all Azure Databricks workspaces. You need to provide the data access.
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.
- A. Mastered
- B. Not Mastered
Answer: A
Explanation:
Step 1: Create a secret scope Step 2: Add secrets to the scope
Note: dbutils.secrets.get(scope = "<scope-name>", key = "<key-name>") gets the key that has been stored as a secret in a secret scope.
Step 3: Mount the Azure Blob Storage container
You can mount a Blob Storage container or a folder inside a container through Databricks File System - DBFS. The mount is a pointer to a Blob Storage container, so the data is never synced locally.
Note: To mount a Blob Storage container or a folder inside a container, use the following command:
Python dbutils.fs.mount(
source = "wasbs://<your-container-name>@<your-storage-account-name>.blob.core.windows.net", mount_point = "/mnt/<mount-name>",
extra_configs = {"<conf-key>":dbutils.secrets.get(scope = "<scope-name>", key = "<key-name>")}) where:
dbutils.secrets.get(scope = "<scope-name>", key = "<key-name>") gets the key that has been stored as a secret in a secret scope.
References:
https://docs.databricks.com/spark/latest/data-sources/azure/azure-storage.html
NEW QUESTION 12
A company plans to develop solutions to perform batch processing of multiple sets of geospatial data. You need to implement the solutions.
Which Azure services should you use? To answer, select the appropriate configuration tit the answer area. NOTE: Each correct selection is worth one point.
- A. Mastered
- B. Not Mastered
Answer: A
Explanation: 
NEW QUESTION 13
A company has a SaaS solutions that will uses Azure SQL Database with elastic pools. The solution will have a dedicated database for each customer organization Customer organizations have peak usage at different periods during the year.
Which two factors affect your costs when sizing the Azure SQL Database elastic pools? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
- A. maximum data size
- B. number of databases
- C. eDTUs consumption
- D. number of read operations
- E. number of transactions
Answer: AC
NEW QUESTION 14
You implement 3 Azure SQL Data Warehouse instance.
You plan to migrate the largest fact table to Azure SQL Data Warehouse The table resides on Microsoft SQL Server on-premises and e 10 terabytes (TB) in size.
Incoming queues use the primary key Sale Key column to retrieve data as displayed in the following table:
You need to distribute the fact table across multiple nodes to optimize performance of the table. Which technology should you use?
- A. hash distributed table with clustered ColumnStore index
- B. hash distributed table with clustered index
- C. heap table with distribution replicate
- D. round robin distributed table with clustered index
- E. round robin distributed table with clustered ColumnStore index
Answer: A
NEW QUESTION 15
Contoso, Ltd. plans to configure existing applications to use Azure SQL Database. When security-related operations occur, the security team must be informed. You need to configure Azure Monitor while minimizing administrative efforts
Which three actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
- A. Create a new action group to email alerts@contoso.com.
- B. Use alerts@contoso.com as an alert email address.
- C. Use all security operations as a condition.
- D. Use all Azure SQL Database servers as a resource.
- E. Query audit log entries as a condition.
Answer: ACE
NEW QUESTION 16
A company has a real-lime data analysis solution that is hosted on Microsoft Azure the solution uses Azure Event Hub to ingest data and an Azure Stream Analytics cloud job to analyze the data. The cloud job is configured to use 120 Streaming Units (SU).
You need to optimize performance for the Azure Stream Analytics job.
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one port.
- A. Implement event ordering
- B. Scale the SU count for the job up
- C. Implement Azure Stream Analytics user-defined functions (UDF)
- D. Scale the SU count for the job down
- E. Implement query parallelization by partitioning the data output
- F. Implement query parallelization by partitioning the data input
Answer: BF
Explanation:
Scale out the query by allowing the system to process each input partition separately.
F: A Stream Analytics job definition includes inputs, a query, and output. Inputs are where the job reads the data stream from.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-parallelization
NEW QUESTION 17
A company is designing a hybrid solution to synchronize data and on-premises Microsoft SQL Server database to Azure SQL Database.
You must perform an assessment of databases to determine whether data will move without compatibility issues.
You need to perform the assessment. Which tool should you use?
- A. Azure SQL Data Sync
- B. SQL Vulnerability Assessment (VA)
- C. SQL Server Migration Assistant (SSMA)
- D. Microsoft Assessment and Planning Toolkit
- E. Data Migration Assistant (DMA)
Answer: E
Explanation:
The Data Migration Assistant (DMA) helps you upgrade to a modern data platform by detecting compatibility issues that can impact database functionality in your new version of SQL Server or Azure SQL Database. DMA recommends performance and reliability improvements for your target environment and allows you to move your schema, data, and uncontained objects from your source server to your target server.
References:
https://docs.microsoft.com/en-us/sql/dma/dma-overview
NEW QUESTION 18
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. Each JSON segment may be used once, more than once, or not at all. You may need to drag the split bat between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
- A. Mastered
- B. Not Mastered
Answer: A
Explanation:
The Set-AzStorageAccountManagementPolicy cmdlet creates or modifies the management policy of an Azure Storage account.
Example: Create or update the management policy of a Storage account with ManagementPolicy rule objects.
Action -BaseBlobAction Delete -daysAfterModificationGreaterThan 100
PS C:>$action1 = Add-AzStorageAccountManagementPolicyAction -InputObject $action1 -BaseBlobAction TierToArchive -daysAfterModificationGreaterThan 50
PS C:>$action1 = Add-AzStorageAccountManagementPolicyAction -InputObject $action1 -BaseBlobAction TierToCool -daysAfterModificationGreaterThan 30
PS C:>$action1 = Add-AzStorageAccountManagementPolicyAction -InputObject $action1 -SnapshotAction Delete -daysAfterCreationGreaterThan 100
PS C:>$filter1 = New-AzStorageAccountManagementPolicyFilter -PrefixMatch ab,cd
PS C:>$rule1 = New-AzStorageAccountManagementPolicyRule -Name Test -Action $action1 -Filter $filter1
PS C:>$action2 = Add-AzStorageAccountManagementPolicyAction -BaseBlobAction Delete
-daysAfterModificationGreaterThan 100
PS C:>$filter2 = New-AzStorageAccountManagementPolicyFilter References:
https://docs.microsoft.com/en-us/powershell/module/az.storage/set-azstorageaccountmanagementpolicy
NEW QUESTION 19
A company plans to use Azure SQL Database to support a mission-critical application.
The application must be highly available without performance degradation during maintenance windows. You need to implement the solution.
Which three technologies should you implement? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- A. Premium service tier
- B. Virtual machine Scale Sets
- C. Basic service tier
- D. SQL Data Sync
- E. Always On availability groups
- F. Zone-redundant configuration
Answer: AEF
Explanation:
Premium/business critical service tier model that is based on a cluster of database engine processes. This architectural model relies on a fact that there is always a quorum of available database engine nodes and has minimal performance impact on your workload even during maintenance activities.
In the premium model, Azure SQL database integrates compute and storage on the single node. High availability in this architectural model is achieved by replication of compute (SQL Server Database Engine process) and storage (locally attached SSD) deployed in 4-node cluster, using technology similar to SQL Server Always On Availability Groups.
Zone redundant configuration
By default, the quorum-set replicas for the local storage configurations are created in the same datacenter. With the introduction of Azure Availability Zones, you have the ability to place the different replicas in the quorum-sets to different availability zones in the same region. To eliminate a single point of failure, the control ring is also duplicated across multiple zones as three gateway rings (GW).
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-high-availability
NEW QUESTION 20
The data engineering team manages Azure HDInsight clusters. The team spends a large amount of time creating and destroying clusters daily because most of the data pipeline process runs in minutes.
You need to implement a solution that deploys multiple HDInsight clusters with minimal effort. What should you implement?
- A. Azure Databricks
- B. Azure Traffic Manager
- C. Azure Resource Manager templates
- D. Ambari web user interface
Answer: C
Explanation:
A Resource Manager template makes it easy to create the following resources for your application in a single, coordinated operation:
HDInsight clusters and their dependent resources (such as the default storage account).
Other resources (such as Azure SQL Database to use Apache Sqoop).
In the template, you define the resources that are needed for the application. You also specify deployment parameters to input values for different environments. The template consists of JSON and expressions that you use to construct values for your deployment.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-create-linux-clusters-arm-templates
NEW QUESTION 21
Note: This question is part of series of questions that present the same scenario. Each question in the series contain a unique solution. Determine whether the solution meets the stated goals.
You develop a data ingestion process that will import data to a Microsoft Azure SQL Data Warehouse. The data to be ingested resides in parquet files stored in an Azure Data Lake Gen 2 storage account.
You need to load the data from the Azure Data Lake Gen 2 storage account into the Azure SQL Data Warehouse.
Solution:
1. Use Azure Data Factory to convert the parquet files to CSV files
2. Create an external data source pointing to the Azure storage account
3. Create an external file format and external table using the external data source
4. Load the data using the INSERT…SELECT statement Does the solution meet the goal?
- A. Yes
- B. No
Answer: B
Explanation:
There is no need to convert the parquet files to CSV files.
You load the data using the CREATE TABLE AS SELECT statement. References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-load-from-azure-data-lake-store
NEW QUESTION 22
You need to set up Azure Data Factory pipelines to meet data movement requirements. Which integration runtime should you use?
- A. self-hosted integration runtime
- B. Azure-SSIS Integration Runtime
- C. .NET Common Language Runtime (CLR)
- D. Azure integration runtime
Answer: A
Explanation:
The following table describes the capabilities and network support for each of the integration runtime types:
Scenario: The solution must support migrating databases that support external and internal application to Azure SQL Database. The migrated databases will be supported by Azure Data Factory pipelines for the continued movement, migration and updating of data both in the cloud and from local core business systems and repositories.
References:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-integration-runtime
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 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: Create an Azure Automation runbook to copy events. Does the solution meet the goal?
- A. Yes
- B. No
Answer: B
NEW QUESTION 24
You develop data engineering solutions for a company.
You need to ingest and visualize real-time Twitter data by using Microsoft Azure.
Which three technologies should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- A. Event Grid topic
- B. Azure Stream Analytics Job that queries Twitter data from an Event Hub
- C. Azure Stream Analytics Job that queries Twitter data from an Event Grid
- D. Logic App that sends Twitter posts which have target keywords to Azure
- E. Event Grid subscription
- F. Event Hub instance
Answer: BDF
Explanation:
You can use Azure Logic apps to send tweets to an event hub and then use a Stream Analytics job to read from event hub and send them to PowerBI.
References:
https://community.powerbi.com/t5/Integrations-with-Files-and/Twitter-streaming-analytics-step-by-step/td-p/95
NEW QUESTION 25
......
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