Latest DP-300 Actual Free Exam Questions Updated 178 Questions

Free DP-300 Exam Braindumps certification guide Q&A

Implementation of a Secure Environment

• Security implementation for data in transit
  • Configuration of database-level firewall and server rules
  • Always Encrypted implementation
• Implementation of compliance controls for confidential data
  • Applying a classification strategy for data
  • Database audits and server configuration
  • Implementation of data change tracking
  • Vulnerability assessment performance
• Using database and platform tools for the configuration of database authorization
  • Utilizing graphical tools for configuring object-level and database permissions
  • Applying principle of least privilege
• Using database and platform tools for database authentication configuration
  • Configuration of Azure AD authentication
  • Creation of users from Azure AD identities
  • Configuring security principals
• Implementing security for data at rest
  • Implementation of Transparent Data Encryption (TDE)
  • Object-level encryption
  • Dynamic Data Masking
  • Disk encryption and Azure Key Vault implementation for Azure VMs

 

NEW QUESTION 17
HOTSPOT
You have SQL Server on an Azure virtual machine.
You review the query plan shown in the following exhibit.

For each of the following statements, select yes if the statement is true. Otherwise, select no.
NOTE: Each correct selection is worth one point.
Hot Area:

Answer:

Explanation:

Section: [none]
Explanation/Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/performance/monitoring-performance-by-using-the-
query-store

 

NEW QUESTION 18
You have a Microsoft SQL Server database named DB1 that contains a table named Table1.
The database role membership for a user named User1 is shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/security/authentication-access/database-level-roles

 

NEW QUESTION 19
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:

Reference:
https://docs.microsoft.com/en-us/azure/dms/known-issues-azure-sql-db-managed-instance-online

 

NEW QUESTION 20
You have SQL Server on an Azure virtual machine that contains a database named DB1.
The database reports a CHECKSUM error.
You need to recover the database.
How should you complete the statements? 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/t-sql/database-console-commands/dbcc-checkdb-transact-sql

 

NEW QUESTION 21
You are building an Azure Stream Analytics job to retrieve game data.
You need to ensure that the job returns the highest scoring record for each five-minute time interval of each game.
How should you complete the Stream Analytics query? 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/stream-analytics-query/topone-azure-stream-analytics
https://github.com/MicrosoftDocs/azure-docs/blob/master/articles/stream-analytics/stream-analytics-window-functions.md

 

NEW QUESTION 22
Which audit log destination should you use to meet the monitoring requirements?

• A. Azure Log Analytics
• B. Azure Storage
• C. Azure Event Hubs

Answer: A

Explanation:
Section: [none]
Explanation:
Scenario: Use a single dashboard to review security and audit data for all the PaaS databases.
With dashboards can bring together operational data that is most important to IT across all your Azure resources, including telemetry from Azure Log Analytics.
Note: Auditing for Azure SQL Database and Azure Synapse Analytics tracks database events and writes them to an audit log in your Azure storage account, Log Analytics workspace, or Event Hubs.
Reference:
https://docs.microsoft.com/en-us/azure/azure-monitor/visualize/tutorial-logs-dashboards Testlet 3 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 stores and the website.
DOCDB stores 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 several 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 analytics 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 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.
You have an Azure Synapse Analytics dedicated SQL pool that contains a table named Table1.
You have files that are ingested and loaded into an Azure Data Lake Storage Gen2 container named container1.
You plan to insert data from the files into Table1 and transform the data. Each row of data in the files will produce one row in the serving layer of Table1.
You need to ensure that when the source data files are loaded to container1, the DateTime is stored as an additional column in Table1.
Solution: You use a dedicated SQL pool to create an external table that has an additional DateTime column.
Does this meet the goal?

• A. No
• B. Yes

Answer: A

Explanation:
Section: [none]
Explanation:
Instead use a serverless SQL pool to create an external table with the extra column.
Note: In dedicated SQL pools you can only use Parquet native external tables. Native external tables are generally available in serverless SQL pools.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/create-use-external-tables 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
Litware has a manufacturing office and a research office is separate locations near Boston. Each office has its own datacenter and internet connection.
Existing Environment
Network Environment
The manufacturing and research datacenters connect to the primary datacenter by using a VPN.
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 24
You have an Azure data solution that contains an enterprise data warehouse in Azure Synapse Analytics named DW1.
Several users execute adhoc queries to DW1 concurrently.
You regularly perform automated data loads to DW1.
You need to ensure that the automated data loads have enough memory available to complete quickly and successfully when the adhoc queries run.
What should you do?

• A. Create sampled statistics to every column in each table of DW1.
• B. Assign a smaller resource class to the automated data load queries.
• C. Hash distribute the large fact tables in DW1 before performing the automated data loads.
• D. Assign a larger resource class to the automated data load queries.

Answer: D

Explanation:
Section: [none]
Explanation:
The performance capacity of a query is determined by the user's resource class.
Smaller resource classes reduce the maximum memory per query, but increase concurrency.
Larger resource classes increase the maximum memory per query, but reduce concurrency.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/resource-classes-for-workload- management

 

NEW QUESTION 25
You have a version-8.0 Azure Database for MySQL database.
You need to identify which database queries consume the most resources.
Which tool should you use?

• A. Query Performance Insight
• B. Metrics
• C. Alerts
• D. Query Store

Answer: D

Explanation:
Section: [none]
Explanation:
The Query Store feature in Azure Database for MySQL provides a way to track query performance over time.
Query Store simplifies performance troubleshooting by helping you quickly find the longest running and most resource-intensive queries. Query Store automatically captures a history of queries and runtime statistics, and it retains them for your review. It separates data by time windows so that you can see database usage patterns.
Data for all users, databases, and queries is stored in the mysql schema database in the Azure Database for MySQL instance.
Reference:
https://docs.microsoft.com/en-us/azure/mysql/concepts-query-store

 

NEW QUESTION 26
You have SQL Server 2019 on an Azure virtual machine that runs Windows Server 2019. The virtual machine has 4 vCPUs and 28 GB of memory.
You scale up the virtual machine to 8 vCPUSs and 64 GB of memory.
You need to provide the lowest latency for tempdb.
What is the total number of data files that tempdb should contain?

• A. 0
• B. 1
• C. 2
• D. 3

Answer: D

Explanation:
Section: [none]
Explanation:
The number of files depends on the number of (logical) processors on the machine. As a general rule, if the number of logical processors is less than or equal to eight, use the same number of data files as logical processors. If the number of logical processors is greater than eight, use eight data files and then if contention continues, increase the number of data files by multiples of 4 until the contention is reduced to acceptable levels or make changes to the workload/code.
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/databases/tempdb-database

 

NEW QUESTION 27
You have an Azure SQL database named db1.
You need to retrieve the resource usage of db1 from the last week.
How should you complete the statement? 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/system-catalog-views/sys-resource-stats-azure-sql-database

 

NEW QUESTION 28
You have an Azure SQL Database server named sqlsrv1 that hosts 10 Azure SQL databases.
The databases perform slower than expected.
You need to identify whether the performance issue relates to the use of tempdb on sqlsrv1.
What should you do?

• A. Run dynamic management view-based queries
• B. Review information provided by SQL Server Profiler-based traces
• C. Run Query Store-based queries
• D. Review information provided by Query Performance Insight

Answer: A

Explanation:
The diagnostics log outputs tempDB contention details. You can use the information as the starting point for troubleshooting.
You can use the Intelligent Insights performance diagnostics log of Azure SQL Database to troubleshoot performance issues.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/intelligent-insights-troubleshoot-performance#tempdb-contention
https://docs.microsoft.com/en-us/azure/azure-sql/database/intelligent-insights-use-diagnostics-log

 

NEW QUESTION 29
You need to implement the monitoring of SalesSQLDb1. The solution must meet the technical requirements.
How should you collect and stream metrics? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: The server, the elastic pool, and the database
Senario:
SalesSQLDb1 is in an elastic pool named SalesSQLDb1Pool.
Litware technical requirements include: 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.
Box 2: Azure Event hubs
Scenario: Migrate ManufacturingSQLDb1 to the Azure virtual machine platform.
Event hubs are able to handle custom metrics.
Incorrect Answers:
Azure Log Analytics
Azure metric and log data are sent to Azure Monitor Logs, previously known as Azure Log Analytics, directly by Azure. Azure SQL Analytics is a cloud only monitoring solution supporting streaming of diagnostics telemetry for all of your Azure SQL databases.
However, because Azure SQL Analytics does not use agents to connect to Azure Monitor, it does not support monitoring of SQL Server hosted on-premises or in virtual machines.

 

NEW QUESTION 30
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 31
You need to identify the cause of the performance issues on SalesSQLDb1.
Which two dynamic management views should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

• A. sys.dm_pdw_nodes_tran_locks
• B. sys.dm_cdc_errors
• C. sys.dm_exec_compute_node_errors
• D. sys.dm_pdw_nodes_os_wait_stats
• E. sys.dm_tran_locks
• F. sys.dm_exec_requests

Answer: A,D

Explanation:
Section: [none]
Explanation:
SalesSQLDb1 experiences performance issues that are likely due to out-of-date statistics and frequent blocking
queries.
A: Use sys.dm_pdw_nodes_tran_locks instead of sys.dm_tran_locks from Azure Synapse Analytics (SQL Data
Warehouse) or Parallel Data Warehouse.
E: Example:
The following query will show blocking information.
SELECT
t1.resource_type,
t1.resource_database_id,
t1.resource_associated_entity_id,
t1.request_mode,
t1.request_session_id,
t2.blocking_session_id
FROM sys.dm_tran_locks as t1
INNER JOIN sys.dm_os_waiting_tasks as t2
ON t1.lock_owner_address = t2.resource_address;
Note: Depending on the system you're working with you can access these wait statistics from one of three
locations:
sys.dm_os_wait_stats: for SQL Server
sys.dm_db_wait_stats: for Azure SQL Database
sys.dm_pdw_nodes_os_wait_stats: for Azure SQL Data Warehouse
Incorrect Answers:
F: sys.dm_tran_locks returns information about currently active lock manager resources in SQL Server 2019
(15.x). Each row represents a currently active request to the lock manager for a lock that has been granted or is
waiting to be granted.
Instead use sys.dm_pdw_nodes_tran_locks.
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/system-dynamic-management-views/sys-dm-tran-
locks-transact-sql
Question Set 2

 

NEW QUESTION 32
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 SQL database named Sales.
You need to implement disaster recovery for Sales to meet the following requirements:
* During normal operations, provide at least two readable copies of Sales.
* Ensure that Sales remains available if a datacenter fails.
Solution: You deploy an Azure SQL database that uses the General Purpose service tier and geo-replication.
Does this meet the goal?

• A. No
• B. Yes

Answer: A

Explanation:
Instead deploy an Azure SQL database that uses the Business Critical service tier and Availability Zones.
Note: Premium and Business Critical service tiers leverage the Premium availability model, which integrates compute resources (sqlservr.exe process) and storage (locally attached SSD) on a single node. High availability is achieved by replicating both compute and storage to additional nodes creating a three to four-node cluster.
By default, the cluster of nodes for the premium availability model is created in the same datacenter. With the introduction of Azure Availability Zones, SQL Database can place different replicas of the Business Critical database 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).
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/high-availability-sla

 

NEW QUESTION 33
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. Resource Groups
• B. SQL Servers
• C. SQL Databases
• D. SQL Virtual Machines

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 34
You have SQL Server on an Azure virtual machine that contains a database named Db1.
You need to enable automatic tuning for Db1.
How should you complete the statements? To answer, select the appropriate answer in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: SET AUTOMATIC_TUNING = AUTO
To enable automatic tuning on a single database via T-SQL, connect to the database and execute the following query:
ALTER DATABASE current SET AUTOMATIC_TUNING = AUTO
Setting automatic tuning to AUTO will apply Azure Defaults.
Box 2: SET AUTOMATIC_TUNING (FORCE_LAST_GOOD_PLAN = ON)
To configure individual automatic tuning options via T-SQL, connect to the database and execute the query such as this one:
ALTER DATABASE current SET AUTOMATIC_TUNING (FORCE_LAST_GOOD_PLAN = ON) Setting the individual tuning option to ON will override any setting that database inherited and enable the tuning option. Setting it to OFF will also override any setting that database inherited and disable the tuning option.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/automatic-tuning-enable

 

NEW QUESTION 35
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 36
You receive numerous alerts from Azure Monitor for an Azure SQL database.
You need to reduce the number of alerts. You must only receive alerts if there is a significant change in usage
patterns for an extended period.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

• A. Set the Alert logic threshold to Static
• B. Set Threshold Sensitivity to High
• C. Set the Alert logic threshold to Dynamic
• D. Set Threshold Sensitivity to Low
• E. Set Force Plan to On

Answer: C,D

Explanation:
Section: [none]
Explanation:
B: Dynamic Thresholds continuously learns the data of the metric series and tries to model it using a set of
algorithms and methods. It detects patterns in the data such as seasonality (Hourly / Daily / Weekly), and is
able to handle noisy metrics (such as machine CPU or memory) as well as metrics with low dispersion (such as
availability and error rate).
D: Alert threshold sensitivity is a high-level concept that controls the amount of deviation from metric behavior
required to trigger an alert.
Low - The thresholds will be loose with more distance from metric series pattern. An alert rule will only trigger
on large deviations, resulting in fewer alerts.
Incorrect Answers:
A: High - The thresholds will be tight and close to the metric series pattern. An alert rule will be triggered on the
smallest deviation, resulting in more alerts.
Reference:
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/alerts-dynamic-thresholds

 

NEW QUESTION 37
You have an Azure Databricks resource.
You need to log actions that relate to changes in compute for the Databricks resource.
Which Databricks services should you log?

• A. SSH
• B. workspace
• C. jobs
• D. DBFS
• E. clusters

Answer: B

Explanation:
Section: [none]
Explanation:
Cloud Provider Infrastructure Logs.
Databricks logging allows security and admin teams to demonstrate conformance to data governance standards within or from a Databricks workspace. Customers, especially in the regulated industries, also need records on activities like:
* User access control to cloud data storage
* Cloud Identity and Access Management roles
* User access to cloud network and compute
Azure Databricks offers three distinct workloads on several VM Instances tailored for your data analytics workflow-the Jobs Compute and Jobs Light Compute workloads make it easy for data engineers to build and execute jobs, and the All-Purpose Compute workload makes it easy for data scientists to explore, visualize, manipulate, and share data and insights interactively.
Reference:
https://databricks.com/blog/2020/03/25/trust-but-verify-with-databricks.html

 

NEW QUESTION 38
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 SQL Server 2019 on an Azure virtual machine.
You are troubleshooting performance issues for a query in a SQL Server instance.
To gather more information, you query sys.dm_exec_requests and discover that the wait type is PAGELATCH_UP and the wait_resource is 2:3:905856.
You need to improve system performance.
Solution: You change the data file for the master database to autogrow by 10 percent.
Does this meet the goal?

• A. No
• B. Yes

Answer: A

Explanation:
Reference:
https://docs.microsoft.com/en-US/troubleshoot/sql/performance/recommendations-reduce-allocation-contention

 

NEW QUESTION 39
......

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