Ultimate Guide to Prepare Free Microsoft DP-300 Exam Questions & Answer
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NEW QUESTION 88
D18912E1457D5D1DDCBD40AB3BF70D5D
What should you do after a failover of SalesSQLDb1 to ensure that the database remains accessible to SalesSQLDb1App1?
- A. Update the connection strings of SalesSQLDb1App1.
- B. Update the users in SalesSQLDb1.
- C. Configure SalesSQLDb1 as writable.
- D. Update the firewall rules of SalesSQLDb1.
Answer: D
Explanation:
Scenario: SalesSQLDb1 uses database firewall rules and contained database users.
NEW QUESTION 89
You have an on-premises Microsoft SQL Server 2016 server named Server1 that contains a database named DB1.
You need to perform an online migration of DB1 to an Azure SQL Database managed instance by using Azure Database Migration Service.
How should you configure the backup of DB1? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Full and log backups only
Make sure to take every backup on a separate backup media (backup files). Azure Database Migration Service doesn't support backups that are appended to a single backup file. Take full backup and log backups to separate backup files.
Box 2: WITH CHECKSUM
Azure Database Migration Service uses the backup and restore method to migrate your on-premises databases to SQL Managed Instance. Azure Database Migration Service only supports backups created using checksum.
Incorrect Answers:
NOINIT Indicates that the backup set is appended to the specified media set, preserving existing backup sets. If a media password is defined for the media set, the password must be supplied. NOINIT is the default.
UNLOAD
Specifies that the tape is automatically rewound and unloaded when the backup is finished. UNLOAD is the default when a session begins.
Reference:
https://docs.microsoft.com/en-us/azure/dms/known-issues-azure-sql-db-managed-instance-online
NEW QUESTION 90
You have an Azure SQL database. The database contains a table that uses a columnstore index and is accessed infrequently.
You enable columnstore archival compression.
What are two possible results of the configuration? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
- A. Queries that use the index will retrieve fewer data pages.
- B. Queries that use the index will consume more disk I/O.
- C. Queries that use the index will consume more CPU resources.
- D. The index will consume more disk space.
- E. The index will consume more memory.
Answer: A,C
Explanation:
For rowstore tables and indexes, use the data compression feature to help reduce the size of the database. In addition to saving space, data compression can help improve performance of I/O intensive workloads because the data is stored in fewer pages and queries need to read fewer pages from disk.
Use columnstore archival compression to further reduce the data size for situations when you can afford extra time and CPU resources to store and retrieve the data.
Plan and Implement a High Availability and Disaster Recovery (HADR) Environment Testlet 1 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
Litware, Inc. is a renewable energy company that has a main office in Boston. The main office hosts a sales department and the primary datacenter for the company.
Physical Locations
Existing Environment
Litware has a manufacturing office and a research office is separate locations near Boston. Each office has its own datacenter and internet connection.
The manufacturing and research datacenters connect to the primary datacenter by using a VPN.
Network Environment
The primary datacenter has an ExpressRoute connection that uses both Microsoft peering and private peering.
The private peering connects to an Azure virtual network named HubVNet.
Identity Environment
Litware has a hybrid Azure Active Directory (Azure AD) deployment that uses a domain named litwareinc.com.
All Azure subscriptions are associated to the litwareinc.com Azure AD tenant.
Database Environment
The sales department has the following database workload:
* An on-premises named SERVER1 hosts an instance of Microsoft SQL Server 2012 and two 1-TB databases.
* A logical server named SalesSrv01A contains a geo-replicated Azure SQL database named SalesSQLDb1.
SalesSQLDb1 is in an elastic pool named SalesSQLDb1Pool. SalesSQLDb1 uses database firewall rules and contained database users.
* An application named SalesSQLDb1App1 uses SalesSQLDb1.
The manufacturing office contains two on-premises SQL Server 2016 servers named SERVER2 and SERVER3. The servers are nodes in the same Always On availability group. The availability group contains a database named ManufacturingSQLDb1 Database administrators have two Azure virtual machines in HubVnet named VM1 and VM2 that run Windows Server 2019 and are used to manage all the Azure databases.
Licensing Agreement
Litware is a Microsoft Volume Licensing customer that has License Mobility through Software Assurance.
Current Problems
SalesSQLDb1 experiences performance issues that are likely due to out-of-date statistics and frequent blocking queries.
Requirements
Planned Changes
Litware plans to implement the following changes:
* Implement 30 new databases in Azure, which will be used by time-sensitive manufacturing apps that have varying usage patterns. Each database will be approximately 20 GB.
* Create a new Azure SQL database named ResearchDB1 on a logical server named ResearchSrv01.
ResearchDB1 will contain Personally Identifiable Information (PII) data.
* Develop an app named ResearchApp1 that will be used by the research department to populate and access ResearchDB1.
* Migrate ManufacturingSQLDb1 to the Azure virtual machine platform.
* Migrate the SERVER1 databases to the Azure SQL Database platform.
Technical Requirements
Litware identifies the following technical requirements:
* Maintenance tasks must be automated.
* The 30 new databases must scale automatically.
* The use of an on-premises infrastructure must be minimized.
* Azure Hybrid Use Benefits must be leveraged for Azure SQL Database deployments.
* All SQL Server and Azure SQL Database metrics related to CPU and storage usage and limits must be analyzed by using Azure built-in functionality.
Security and Compliance Requirements
Litware identifies the following security and compliance requirements:
* Store encryption keys in Azure Key Vault.
* Retain backups of the PII data for two months.
* Encrypt the PII data at rest, in transit, and in use.
* Use the principle of least privilege whenever possible.
* Authenticate database users by using Active Directory credentials.
* Protect Azure SQL Database instances by using database-level firewall rules.
* Ensure that all databases hosted in Azure are accessible from VM1 and VM2 without relying on public endpoints.
Business Requirements
Litware identifies the following business requirements:
* Meet an SLA of 99.99% availability for all Azure deployments.
* Minimize downtime during the migration of the SERVER1 databases.
* Use the Azure Hybrid Use Benefits when migrating workloads to Azure.
* Once all requirements are met, minimize costs whenever possible.
NEW QUESTION 91
You have an Azure virtual machine named VM1 on a virtual network named VNet1. Outbound traffic from VM1 to the internet is blocked.
You have an Azure SQL database named SqlDb1 on a logical server named SqlSrv1.
You need to implement connectivity between VM1 and SqlDb1 to meet the following requirements:
Ensure that VM1 cannot connect to any Azure SQL Server other than SqlSrv1.
Restrict network connectivity to SqlSrv1.
What should you create on VNet1?
- A. a service endpoint
- B. an ExpressRoute gateway
- C. a VPN gateway
- D. a private link
Answer: D
Explanation:
Azure Private Link enables you to access Azure PaaS Services (for example, Azure Storage and SQL Database) and Azure hosted customer-owned/partner services over a private endpoint in your virtual network.
Traffic between your virtual network and the service travels the Microsoft backbone network. Exposing your service to the public internet is no longer necessary.
Reference:
https://docs.microsoft.com/en-us/azure/private-link/private-link-overview
NEW QUESTION 92
You have an Azure SQL database named DB1 that contains two tables named Table1 and Table2. Both tables contain a column named a Column1. Column1 is used for joins by an application named App1.
You need to protect the contents of Column1 at rest, in transit, and in use.
How should you protect the contents of Column1? 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/sql/relational-databases/security/encryption/always-encrypted-database-engine
NEW QUESTION 93
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 have an Azure Data Lake Storage account that contains a staging zone.
You need to design a daily process to ingest incremental data from the staging zone, transform the data by executing an R script, and then insert the transformed data into a data warehouse in Azure Synapse Analytics.
Solution: You use an Azure Data Factory schedule trigger to execute a pipeline that executes mapping data flow, and then inserts the data into the data warehouse.
Does this meet the goal?
- A. No
- B. Yes
Answer: A
Explanation:
Section: [none]
Explanation:
If you need to transform data in a way that is not supported by Data Factory, you can create a custom activity, not a mapping flow,5 with your own data processing logic and use the activity in the pipeline. You can create a custom activity to run R scripts on your HDInsight cluster with R installed.
Reference:
https://docs.microsoft.com/en-US/azure/data-factory/transform-data
NEW QUESTION 94
You plan to deploy an app that includes an Azure SQL database and an Azure web app. The app has the following requirements:
The web app must be hosted on an Azure virtual network.
The Azure SQL database must be assigned a private IP address.
The Azure SQL database must allow connections only from the virtual network.
You need to recommend a solution that meets the requirements.
What should you include in the recommendation?
- A. a network security group (NSG)
- B. Azure Private Link
- C. a server-level firewall
- D. a database-level firewall
Answer: B
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/private-endpoint-overview
NEW QUESTION 95
You are building an Azure virtual machine.
You allocate two 1-TiB, P30 premium storage disks to the virtual machine. Each disk provides 5,000 IOPS.
You plan to migrate an on-premises instance of Microsoft SQL Server to the virtual machine. The instance has a database that contains a 1.2-TiB data file. The database requires 10,000 IOPS.
You need to configure storage for the virtual machine to support the database.
Which three objects should you create in sequence? To answer, move the appropriate objects from the list of objects to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Follow these same steps to create striped virtual disk:
Create Log Storage Pool.
Create Virtual Disk
Create Volume
Box 1: a storage pool
Box 2: a virtual disk that uses stripe layout
Disk Striping: Use multiple disks and stripe them together to get a combined higher IOPS and Throughput limit. The combined limit per VM should be higher than the combined limits of attached premium disks.
Box 3: a volume
Reference:
https://hanu.com/hanu-how-to-striping-of-disks-for-azure-sql-server/
NEW QUESTION 96
What should you implement to meet the disaster recovery requirements for the PaaS solution?
- A. failover groups
- B. Always On availability groups
- C. geo-replication
- D. Availability Zones
Answer: A
Explanation:
Section: [none]
Explanation:
Scenario: In the event of an Azure regional outage, ensure that the customers can access the PaaS solution with minimal downtime. The solution must provide automatic failover.
The auto-failover groups feature allows you to manage the replication and failover of a group of databases on a server or all databases in a managed instance to another region. It is a declarative abstraction on top of the existing active geo-replication feature, designed to simplify deployment and management of geo-replicated databases at scale. You can initiate failover manually or you can delegate it to the Azure service based on a user-defined policy.
The latter option allows you to automatically recover multiple related databases in a secondary region after a catastrophic failure or other unplanned event that results in full or partial loss of the SQL Database or SQL Managed Instance availability in the primary region.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/auto-failover-group-overview Question Set 3
NEW QUESTION 97
You plan to move two 100-GB databases to Azure.
You need to dynamically scale resources consumption based on workloads. The solution must minimize downtime during scaling operations.
What should you use?
- A. two databases hosted in SQL Server on an Azure virtual machine
- B. two databases in an Azure SQL Managed instance
- C. two single Azure SQL databases
- D. two Azure SQL Databases in an elastic pool
Answer: D
Explanation:
Azure SQL Database elastic pools are a simple, cost-effective solution for managing and scaling multiple databases that have varying and unpredictable usage demands. The databases in an elastic pool are on a single server and share a set number of resources at a set price.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/elastic-pool-overview
NEW QUESTION 98
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 have an Azure Data Lake Storage account that contains a staging zone.
You need to design a daily process to ingest incremental data from the staging zone, transform the data by executing an R script, and then insert the transformed data into a data warehouse in Azure Synapse Analytics.
Solution: You use an Azure Data Factory schedule trigger to execute a pipeline that executes an Azure Databricks notebook, and then inserts the data into the data warehouse.
Does this meet the goal?
- A. No
- B. Yes
Answer: A
Explanation:
Section: [none]
Explanation:
If you need to transform data in a way that is not supported by Data Factory, you can create a custom activity, not an Azure Databricks notebook, with your own data processing logic and use the activity in the pipeline. You can create a custom activity to run R scripts on your HDInsight cluster with R installed.
Reference:
https://docs.microsoft.com/en-US/azure/data-factory/transform-data
NEW QUESTION 99
HOTSPOT
You have an Azure Data Lake Storage Gen2 container.
Data is ingested into the container, and then transformed by a data integration application. The data is NOT modified after that. Users can read files in the container but cannot modify the files.
You need to design a data archiving solution that meets the following requirements:
* New data is accessed frequently and must be available as quickly as possible.
* Data that is older than five years is accessed infrequently but must be available within one second when requested.
* Data that us older than seven years is NOT accessed. After seven years, the data must be persisted at the lowest cost possible.
* Costs must be minimized while maintaining the required availability.
How should you manage the data? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
Answer:
Explanation:
Section: [none]
Explanation:
Box 1: Move to cool storage
The cool access tier has lower storage costs and higher access costs compared to hot storage. This tier is intended for data that will remain in the cool tier for at least 30 days. Example usage scenarios for the cool access tier include:
Short-term backup and disaster recovery
Older data not used frequently but expected to be available immediately when accessed Large data sets that need to be stored cost effectively, while more data is being gathered for future processing Note: Hot - Optimized for storing data that is accessed frequently.
Cool - Optimized for storing data that is infrequently accessed and stored for at least 30 days.
Archive - Optimized for storing data that is rarely accessed and stored for at least 180 days with flexible latency requirements, on the order of hours.
Box 2: Move to archive storage
Example usage scenarios for the archive access tier include:
Long-term backup, secondary backup, and archival datasets
Original (raw) data that must be preserved, even after it has been processed into final usable form Compliance and archival data that needs to be stored for a long time and is hardly ever accessed Reference:
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-blob-storage-tiers
NEW QUESTION 100
HOTSPOT
You need to recommend a configuration for ManufacturingSQLDb1 after the migration to Azure. The solution must meet the business requirements.
What should you include in the recommendation? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
Answer:
Explanation:
Section: [none]
Explanation:
Box 1: Node majority with witness
As a general rule when you configure a quorum, the voting elements in the cluster should be an odd number.
Therefore, if the cluster contains an even number of voting nodes, you should configure a disk witness or a file share witness.
Note: Mode: Node majority with witness (disk or file share)
Nodes have votes. In addition, a quorum witness has a vote. The cluster quorum is the majority of voting nodes in the active cluster membership plus a witness vote. A quorum witness can be a designated disk witness or a designated file share witness.
Box 2: Azure Standard Load Balancer
Microsoft guarantees that a Load Balanced Endpoint using Azure Standard Load Balancer, serving two or more Healthy Virtual Machine Instances, will be available 99.99% of the time.
Scenario: Business Requirements
Litware identifies business requirements include: meet an SLA of 99.99% availability for all Azure deployments.
Incorrect Aswers:
Basic Balancer: No SLA is provided for Basic Load Balancer.
Note: There are two main options for setting up your listener: external (public) or internal. The external (public) listener uses an internet facing load balancer and is associated with a public Virtual IP (VIP) that is accessible over the internet. An internal listener uses an internal load balancer and only supports clients within the same Virtual Network.
Reference:
https://technet.microsoft.com/windows-server-docs/failover-clustering/deploy-cloud-witness
https://azure.microsoft.com/en-us/support/legal/sla/load-balancer/v1_0/
NEW QUESTION 101
You have an Always On availability group deployed to Azure virtual machines. The availability group contains a
database named DB1 and has two nodes named SQL1 and SQL2. SQL1 is the primary replica.
You need to initiate a full backup of DB1 on SQL2.
Which statement should you run?
BACKUP DATABASE DB1 TO URL='https://mystorageaccount.blob.core.windows.net/
- A. mycontainer/DB1.bak' with (Differential, STATS=5, COMPRESSION);
BACKUP DATABASE DB1 TO URL='https://mystorageaccount.blob.core.windows.net/ - B. mycontainer/DB1.bak' with (NoInit, STATS=5, COMPRESSION);
- C. mycontainer/DB1.bak' with (COPY_ONLY, STATS=5, COMPRESSION);
BACKUP DATABASE DB1 TO URL='https://mystorageaccount.blob.core.windows.net/ - D. mycontainer/DB1.bak' with (File_Snapshot, STATS=5, COMPRESSION);
BACKUP DATABASE DB1 TO URL='https://mystorageaccount.blob.core.windows.net/
Answer: C
Explanation:
Section: [none]
Explanation:
BACKUP DATABASE supports only copy-only full backups of databases, files, or filegroups when it's executed
on secondary replicas. Copy-only backups don't impact the log chain or clear the differential bitmap.
Incorrect Answers:
A: Differential backups are not supported on secondary replicas. The software displays this error because the
secondary replicas support copy-only database backups.
Reference:
https://docs.microsoft.com/en-us/sql/database-engine/availability-groups/windows/active-secondaries-backup-
on-secondary-replicas-always-on-availability-groups
NEW QUESTION 102
You deploy a database to an Azure SQL Database managed instance.
You need to prevent read queries from blocking queries that are trying to write to the database.
Which database option should set?
- A. READ_COMMITTED_SNAPSHOT to ON
- B. PARAMETERIZATION to SIMPLE
- C. PARAMETERIZATION to FORCED
- D. Delayed Durability to Forced
Answer: A
Explanation:
In SQL Server, you can also minimize locking contention while protecting transactions from dirty reads of uncommitted data modifications using either:
* The READ COMMITTED isolation level with the READ_COMMITTED_SNAPSHOT database option set to ON.
* The SNAPSHOT isolation level.
If READ_COMMITTED_SNAPSHOT is set to ON (the default on SQL Azure Database), the Database Engine uses row versioning to present each statement with a transactionally consistent snapshot of the data as it existed at the start of the statement. Locks are not used to protect the data from updates by other transactions.
Incorrect Answers:
A: When the PARAMETERIZATION database option is set to SIMPLE, the SQL Server query optimizer may choose to parameterize the queries. This means that any literal values that are contained in a query are substituted with parameters. This process is referred to as simple parameterization. When SIMPLE parameterization is in effect, you cannot control which queries are parameterized and which queries are not.
B: You can specify that all queries in a database be parameterized by setting the PARAMETERIZATION database option to FORCED. This process is referred to as forced parameterization.
C: Delayed transaction durability is accomplished using asynchronous log writes to disk. Transaction log records are kept in a buffer and written to disk when the buffer fills or a buffer flushing event takes place. Delayed transaction durability reduces both latency and contention within the system.
Some of the cases in which you could benefit from using delayed transaction durability are:
* You can tolerate some data loss.
* You are experiencing a bottleneck on transaction log writes.
* Your workloads have a high contention rate.
Reference:
https://docs.microsoft.com/en-us/sql/t-sql/statements/set-transaction-isolation-level-transact-sql
NEW QUESTION 103
You plan to create a table in an Azure Synapse Analytics dedicated SQL pool.
Data in the table will be retained for five years. Once a year, data that is older than five years will be deleted.
You need to ensure that the data is distributed evenly across partitions. The solutions must minimize the amount of time required to delete old data.
How should you complete the Transact-SQL statement? To answer, drag the appropriate values to the correct targets. Each value 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:
Reference:
https://docs.microsoft.com/en-us/sql/t-sql/statements/create-table-azure-sql-data-warehouse
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/best-practices-dedicated-sql-pool
NEW QUESTION 104
You have several Azure SQL databases on the same Azure SQL Database server in a resource group named
ResourceGroup1.
You must be alerted when CPU usage exceeds 80 percent for any database. The solution must apply to any
additional databases that are created on the Azure SQL server.
Which resource type should you use to create the alert?
- A. SQL Virtual Machines
- B. SQL Servers
- C. SQL Databases
- D. Resource Groups
Answer: C
Explanation:
Section: [none]
Explanation:
There are resource types related to application code, compute infrastructure, networking, storage + databases.
You can deploy up to 800 instances of a resource type in each resource group.
Some resources can exist outside of a resource group. These resources are deployed to the subscription,
management group, or tenant. Only specific resource types are supported at these scopes.
Reference:
https://docs.microsoft.com/en-us/azure/azure-resource-manager/management/resource-providers-and-types
NEW QUESTION 105
You have an Azure SQL database.
You identify a long running query.
You need to identify which operation in the query is causing the performance issue.
What should you use to display the query execution plan in Microsoft SQL Server Management Studio (SSMS)?
- A. an estimated execution plan
- B. Client Statistics
- C. Live Query Statistics
- D. an actual execution plan
Answer: D
Explanation:
To include an execution plan for a query during execution
1. On the SQL Server Management Studio toolbar, click Database Engine Query. You can also open an existing query and display the estimated execution plan by clicking the Open File toolbar button and locating the existing query.
2. Enter the query for which you would like to display the actual execution plan.
3. On the Query menu, click Include Actual Execution Plan or click the Include Actual Execution Plan toolbar button.
Note: Actual execution plans are generated after the Transact-SQL queries or batches execute. Because of this, an actual execution plan contains runtime information, such as actual resource usage metrics and runtime warnings (if any). The execution plan that is generated displays the actual query execution plan that the SQL Server Database Engine used to execute the queries.
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/performance/display-an-actual-execution-plan
NEW QUESTION 106
From a website analytics system, you receive data extracts about user interactions such as downloads, link clicks, form submissions, and video plays.
The data contains the following columns:
You need to design a star schema to support analytical queries of the dat a. The star schema will contain four tables including a date dimension.
To which table should you add each column? 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/power-bi/guidance/star-schema
NEW QUESTION 107
You have an Azure SQL database named DB1. You run a query while connected to DB1.
You review the actual execution plan for the query, and you add an index to a table referenced by the query.
You need to compare the previous actual execution plan for the query to the Live Query Statistics.
What should you do first in Microsoft SQL Server Management Studio (SSMS)?
- A. Enable Query Store for DB1.
- B. For DB1, set QUERY_CAPTURE_MODE of Query Store to All.
- C. Run the SET SHOWPLAN_ALLTransact-SQL statement.
- D. Save the actual execution plan.
Answer: D
Explanation:
Section: [none]
Explanation:
The Plan Comparison menu option allows side-by-side comparison of two different execution plans, for easier
identification of similarities and changes that explain the different behaviors for all the reasons stated above.
This option can compare between:
Two previously saved execution plan files (.sqlplan extension).
One active execution plan and one previously saved query execution plan.
Two selected query plans in Query Store.
NEW QUESTION 108
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 have an Azure Data Lake Storage account that contains a staging zone.
You need to design a daily process to ingest incremental data from the staging zone, transform the data by executing an R script, and then insert the transformed data into a data warehouse in Azure Synapse Analytics.
Solution: You use an Azure Data Factory schedule trigger to execute a pipeline that executes mapping data flow, and then inserts the data into the data warehouse.
Does this meet the goal?
- A. No
- B. Yes
Answer: A
Explanation:
If you need to transform data in a way that is not supported by Data Factory, you can create a custom activity, not a mapping flow,5 with your own data processing logic and use the activity in the pipeline. You can create a custom activity to run R scripts on your HDInsight cluster with R installed.
Reference:
https://docs.microsoft.com/en-US/azure/data-factory/transform-data
NEW QUESTION 109
You need to recommend a configuration for ManufacturingSQLDb1 after the migration to Azure. The solution must meet the business requirements.
What 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://technet.microsoft.com/windows-server-docs/failover-clustering/deploy-cloud-witness
https://azure.microsoft.com/en-us/support/legal/sla/load-balancer/v1_0/
NEW QUESTION 110
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 have an Azure Data Lake Storage account that contains a staging zone.
You need to design a daily process to ingest incremental data from the staging zone, transform the data by executing an R script, and then insert the transformed data into a data warehouse in Azure Synapse Analytics.
Solution: You schedule an Azure Databricks job that executes an R notebook, and then inserts the data into the data warehouse.
Does this meet the goal?
- A. No
- B. Yes
Answer: A
Explanation:
Section: [none]
Explanation:
Must use an Azure Data Factory, not an Azure Databricks job.
Reference:
https://docs.microsoft.com/en-US/azure/data-factory/transform-data
NEW QUESTION 111
......
Planning and Implementing a High Availability and Disaster Recovery (HADR) Setup
- Performing backup and restoration of data using database tools
- Performing database backup with options
- Performing database restoration with options and to specific points in time
- Configuring long-term solutions for backup retention
- Recommending an HADR strategy
- Recommending the appropriate HADR strategy on the basis of RTO/RPO needs
- Evaluating HADR for hybrid deployments
- Evaluating Azure specifics for HADR solutions
- Defining resources for HADR
- Testing and configuring HADR
- The use of failover to test DR and HA
- Utilizing database, OS, and platform tools to perform the configuration of replication
- Designing an Availability Group and integrating databases into it
- The configuration of AG listener as well as quorum options
The Microsoft DP-300: Administering Relational Databases on Microsoft Azure exam is a qualifying test that the individuals must pass to obtain the Microsoft Certified: Azure Database Administrator Associate certification. The intended candidates for this exam are the specialists in data management and database administrators. They manage and implement the operational components of hybrid and Cloud-native data platform solution options that are created on SQL Server and Azure Data Services. These professionals use different tools and methods to carry out their daily business operations. These include the application of knowledge of the use of T-SQL for different purposes, including administrative management.
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