Test Online Free Microsoft DP-300 Exam Questions and Answers

• A. Create a diagnostic setting for the activity log that has the Security log enabled.
• B. For the database, create a diagnostic setting that has the InstanceAndAppAdvanced metric enabled.
• C. Create an alert rule that uses a Metric signal type.
• D. Create an alert rule that uses an Activity Log signal type.

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DRAG DROP
You create all of the tables and views for ResearchDB1.
You need to implement security for ResearchDB1. The solution must meet the security and compliance requirements.
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.

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Answer:


Explanation:
Graphical user interface, text, application
Description automatically generated

You have an Azure SQL database.
You discover that the plan cache is full of compiled plans that were used only once.
You run the select * from sys.database_scoped_configurations Transact-SQL command and receive the results shown in the following table.



You need relieve the memory pressure.
What should you configure?

• A. LEGACY_CARDINALITY_ESTIMATION
• B. QUERY_OPTIMIZER_HOTFIXES
• C. OPTIMIZE_FOR_AD_HOC_WORKLOADS
• D. ACCELERATED_PLAN_FORCING

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HOTSPOT
You have an Azure SQL database named DB1.
The automatic tuning options for DB1 are configured as 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.

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Answer:


Explanation:
Box 1: Yes
We see: Tuning option: Create index ON
CREATE INDEX - Identifies indexes that may improve performance of your workload, creates indexes, and automatically verifies that performance of queries has improved.
Box 2: No
Box 3: Yes
FORCE LAST GOOD PLAN (automatic plan correction) - Identifies Azure SQL queries using an execution plan that is slower than the previous good plan, and queries using the last known good plan instead of the regressed plan.

• A. Configure SalesSQLDb1 as writable.
• B. Update the connection strings of SalesSQLDb1App1.
• C. Update the firewall rules of SalesSQLDb1.
• D. Update the users in SalesSQLDb1.

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• A. Local tempdb percentage
• B. DWU percentage
• C. Data Warehouse Units (DWU) used
• D. Cache hit percentage

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• A. Sliding
• B. Hopping
• C. Session
• D. Tumbling

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Answer:
Explanation:
Scenario: 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.
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.



Timeline
Description automatically generated
Reference: https://github.com/MicrosoftDocs/azure-docs/blob/master/articles/stream-analytics/stream-analytics-window-functions.md

HOTSPOT
You have an Azure subscription.
You need to deploy an Azure SQL managed instance that meets the following requirements:
• Optimize latency.
• Maximize the memory-to-vCore ratio.
Which service tier and hardware generation should you use? To answer, select the apocopate options in the answer area. NOTE: Each correct selection is worth one point.

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Answer:

Topic 2, Contoso Ltd

Case study
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
Existing Environment
Contoso, Ltd. is a financial data company that has 100 employees. The company delivers financial data to customers.

Active Directory
Contoso has a hybrid Azure Active Directory (Azure AD) deployment that syncs to on-premises Active Directory.

Database Environment
Contoso has SQL Server 2017 on Azure virtual machines shown in the following table.



SQL1 and SQL2 are in an Always On availability group and are actively queried. SQL3 runs jobs, provides historical data, and handles the delivery of data to customers.
The on-premises datacenter contains a PostgreSQL server that has a 50-TB database.

Current Business Model
Contoso uses Microsoft SQL Server Integration Services (SSIS) to create flat files for customers. The customers receive the files by using FTP.

Requirements
Planned Changes
Contoso plans to move to a model in which they deliver data to customer databases that run as platform as a service (PaaS) offerings. When a customer establishes a service agreement with Contoso, a separate resource group that contains an Azure SQL database will be provisioned for the customer. The database will have a complete copy of the financial data. The data to which each customer will have access will depend on the service agreement tier. The customers can change tiers by changing their service agreement.
The estimated size of each PaaS database is 1 TB.
Contoso plans to implement the following changes:
Move the PostgreSQL database to Azure Database for PostgreSQL during the next six months.
Upgrade SQL1, SQL2, and SQL3 to SQL Server 2019 during the next few months.
Start onboarding customers to the new PaaS solution within six months.

Business Goals
Contoso identifies the following business requirements:
Use built-in Azure features whenever possible.
Minimize development effort whenever possible.
Minimize the compute costs of the PaaS solutions.
Provide all the customers with their own copy of the database by using the PaaS solution. Provide the customers with different table and row access based on the customer’s service agreement.
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.
Ensure that users of the PaaS solution can create their own database objects but he prevented from modifying any of the existing database objects supplied by Contoso.

Technical Requirements
Contoso identifies the following technical requirements:
Users of the PaaS solution must be able to sign in by using their own corporate Azure AD credentials or have Azure AD credentials supplied to them by Contoso. The solution must avoid using the internal Azure AD of Contoso to minimize guest users.
All customers must have their own resource group, Azure SQL server, and Azure SQL database. The deployment of resources for each customer must be done in a consistent fashion.
Users must be able to review the queries issued against the PaaS databases and identify any new objects created.
Downtime during the PostgreSQL database migration must be minimized.

Monitoring Requirements
Contoso identifies the following monitoring requirements:
Notify administrators when a PaaS database has a higher than average CPU usage.
Use a single dashboard to review security and audit data for all the PaaS databases.
Use a single dashboard to monitor query performance and bottlenecks across all the PaaS databases.
Monitor the PaaS databases to identify poorly performing queries and resolve query performance issues automatically whenever possible.

PaaS Prototype
During prototyping of the PaaS solution in Azure, you record the compute utilization of a customer’s Azure SQL database as shown in the following exhibit.




Role Assignments
For each customer’s Azure SQL Database server, you plan to assign the roles shown in the following exhibit.




Based on the PaaS prototype, which Azure SQL Database compute tier should you use?

• A. Business Critical 4-vCore
• B. Hyperscale
• C. General Purpose v-vCore
• D. Serverless

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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.

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Answer:


Explanation:
Graphical user interface, text, application
Description automatically generated with medium confidence
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

HOTSPOT
You configure version control for an Azure Data Factory instance as 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.

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Answer:


Explanation:
Graphical user interface, text, application
Description automatically generated
Box 1: adf_publish
By default, data factory generates the Resource Manager templates of the published factory and saves them into a branch called adf_publish. To configure a custom publish branch, add a publish_config.json file to the root folder in the collaboration branch. When publishing, ADF reads this file, looks for the field publishBranch, and saves all Resource Manager templates to the specified location. If the branch doesn't exist, data factory will automatically create it. And example of what this file looks like is below:
{
"publishBranch": "factory/adf_publish"
}
Box 2: /dwh_barchlet/ adf_publish/contososales
RepositoryName: Your Azure Repos code repository name. Azure Repos projects contain Git repositories to manage your source code as your project grows. You can create a new repository or use an existing repository that's already in your project.

• A. Azure SQL Database
• B. Azure Databricks
• C. Azure Stream Analytics

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• A. a table that has a FOREIGN KEY constraint
• B. a table the has an IDENTITY property
• C. a user-defined SEQUENCE object
• D. a system-versioned temporal table

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• A. Queries that use the index will consume more disk I/
• B. Queries that use the index will retrieve fewer data pages.
• C. The index will consume more disk space.
• D. The index will consume more memory.
• E. Queries that use the index will consume more CPU resources.

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• A. Yes
• B. No

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