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Exam Topics

The Microsoft DP-300 exam measures the capability of the candidates to complete certain technical tasks, such as querying performance, planning and implementing the High Availability & Disaster Recovery environment, and optimizing & monitoring operational resources. The highlights of these topics are as follows:

• Secure Environment Implementation: 15-20%This topic will evaluate the capability of the candidates to use database tools and platforms to configure the authentication and authorization of database. It will also measure the skills required to implement the security for data on rest. Additionally, the individuals should develop their expertise in implementing security for data on transit and compliance controls for delicate data.
• Data Platform Resources Planning and Implementation: 15-20%The applicants should have the ability to deploy resources with the use of manual methods. They should also be able to recommend the relevant database contributions based on certain prerequisites. The examinees will be measured based on their competence in configuring resources for performance and scale; evaluating strategies for movement to Azure. They also need the knowledge of upgrade or migration strategy implementation to move to Azure.
• Query Performance Optimization: 5-10%This knowledge area of the exam will test the ability of the students to evaluate performance optimization, evaluate query plans, and review index design and database table. This covers their competence in identifying issues with data quality based on duplication of data; evaluating a strategy for table partitioning; evaluating index design for optimal performance.
• HADR Planning and Implementation: 15-20%This domain requires that the candidates have the ability to recommend High Availability & Disaster Recovery (HADR) strategies for data platform solutions. It also covers the skills in testing HADR strategies with the use of database tools, platforms, and operating systems. The subject area will also evaluate one’s expertise in performing the backup and restoration of a database with the use of database tools. It will also measure the ability to configure High Availability & Disaster Recovery with the use of platform, database tools, and OS.
• Use of T-SQL in Administration Performance: 10-15%Within this module, the individuals should be able to evaluate system health and use T-SQL to monitor the configuration of database. It will evaluate their skills in performing backup and database restoration with the use of T-SQL, as well as managing authentication and authorization utilizing T-SQL.
• Tasks Automation Performance: 10-15%The examinees should have the capacity to develop scheduled tasks, measure and execute notification and alert strategies, and automate and manage tasks within Azure. This part will test their skills in managing schedules for different maintenance jobs, automating backups, and creating alerts for the server configuration changes.

Execute Tasks Automation Performance: 10-15%

• Create Scheduled Tasks: The candidates should demonstrate their skills in configuring multi-server automation and notifications for task non-completion/success/failure.
• Automate & Manage Tasks within Azure: This part covers the individuals’ skills in automating backups and performance patching and tuning, as well as implementing policies with automated evaluation modes.
• Implement & Evaluate Notification and Alert Strategies: This section requires one’s expertise in creating event notifications according to metrics, creating alerts for changes in server configurations, and creating tasks that react to specific event notifications.

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Administration tasks with the use of T-SQL

• Monitoring of database configuration

• The configuration of database autogrowth

• Reviewing options for database configuration

• Database free space reports

• Using T-SQL for restoration and backups

• Performing database backups and transaction log backups

• Restoring user databases

• Always On Availability Groups and preparing databases for them

• System health assessment

• Utilizing DBCC for database consistency checks

• The use of DMVs for examining health of servers and databases

• Management of authorization and authentication

• Handling security principals and certificates

• The configuration of permissions

Microsoft Administering Relational Databases on Microsoft Azure Sample Questions (Q168-Q173):

NEW QUESTION # 168
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 # 169**
You are performing exploratory analysis of bus fare data in an Azure Data Lake Storage Gen2 account by using an Azure Synapse Analytics serverless SQL pool.
You execute the Transact-SQL query 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.
Answer: ** Explanation:

Explanation
Graphical user interface, table Description automatically generated

Box 1: CSV files that have file named beginning with "tripdata2020"
Box 2: a header
FIRSTROW = 'firstrow'
Specifies the number of the first row to load. The default is 1 and indicates the first row in the specified data file. The row numbers are determined by counting the row terminators. FIRSTROW is 1-based.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/develop-openrowset
NEW QUESTION # 170**
DRAG DROP
Your company analyzes images from security cameras and sends alerts to security teams that respond to unusual activity. The solution uses Azure Databricks.
You need to send Apache Spark level events, Spark Structured Streaming metrics, and application metrics to Azure Monitor.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions in the answer area and arrange them in the correct order.
Select and Place:
Answer: ** Explanation:

Section: [none]
Explanation:
Send application metrics using Dropwizard.
Spark uses a configurable metrics system based on the Dropwizard Metrics Library.
To send application metrics from Azure Databricks application code to Azure Monitor, follow these steps:
Step 1: Configure your Azure Databricks cluster to use the Databricksmonitoring library.
Prerequisite: Configure your Azure Databricks cluster to use the monitoring library.
Step 2: Build the spark-listeners-loganalytics-1.0-SNAPSHOT.jar JAR file Step 3: Create Dropwizard counters in your application code Create Dropwizard gauges or counters in your application code
NEW QUESTION # 171**
HOTSPOT
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.
Hot Area:
Answer: ** Explanation:

Section: [none]
Explanation:
Box 1: TopOne() OVER(PARTITION BY Game ORDER BY Score Desc)
TopOne returns the top-rank record, where rank defines the ranking position of the event in the window according to the specified ordering. Ordering/ranking is based on event columns and can be specified in ORDER BY clause.
Analytic Function Syntax:
TopOne() OVER ([<PARTITION BY clause>] ORDER BY (<column name> [ASC |DESC])+ <LIMIT DURATION clause> [<WHEN clause>]) Box 2: Tumbling(minute 5) Tumbling window functions are used to segment a data stream into distinct time segments and perform a function against them, such as the example below. The key differentiators of a Tumbling window are that they repeat, do not overlap, and an event cannot belong to more than one tumbling window.

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 # 172**
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 # 173
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