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| Passing Score | 700 / 1000 |
| Sample Questions | Microsoft Administering Relational Databases on Azure Sample Questions |
| Duration | 120 mins |
| Exam Code | DP-300 |
| Exam Price | $165 (USD) |
Microsoft DP-300 Exam is ideal for professionals who are looking to enhance their skills and knowledge in the field of database administration. It is also a great certification for those who are looking to advance their careers in the IT industry. DP-300 exam is a combination of multiple-choice questions and performance-based tasks that require candidates to demonstrate their ability to perform various database administration tasks using Microsoft Azure tools and technologies.
Our DP-300 PDF format is also an effective format to do test preparation. In your spare time, you can easily use the DP-300 dumps PDF file for study or revision. The PDF file of Microsoft DP-300 real questions is convenient and manageable. These Microsoft DP-300 Questions are also printable, giving you the option of paper study since some Microsoft DP-300 applicants prefer off-screen preparation rather than on a screen.
Microsoft DP-300 certification exam is designed for professionals who want to administer relational databases on Microsoft Azure. Administering Relational Databases on Microsoft Azure certification is suitable for database administrators, developers, and architects who want to learn how to manage and maintain databases on the cloud. DP-300 Exam covers various topics, including deploying and configuring SQL Server on Azure, managing databases and instances, implementing security, and optimizing performance.
NEW QUESTION # 269
Case Study 1 - Litware, Inc
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.
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.
Answer: A,D
Explanation:
SalesSQLDb1 experiences performance issues that are likely due to out-of-date statistics and frequent blocking queries.
Seeing a Count of All Active SQL Server Wait Types.
Sometimes we're trying to diagnose a problem and we want to know if we're seeing a large number of wait types occurring. We can do this using sys.dm_exec_requests because the current wait type being experienced is presented. Therefore, if we filter out any background or sleeping tasks, we can get a picture of what the waits are for active requests and we can also see if we have a problem. Here's the query:
SELECT COALESCE(wait_type, 'None') AS wait_type, COUNT(*) AS Total
FROM sys.dm_exec_requests -
WHERE NOT status IN ('Background', 'Sleeping')
GROUP BY wait_type
ORDER BY Total DESC;
Here is an example of the query output:
We see that we have two LCK_M_S wait types. This is the wait type we get when we have requests waiting on obtaining a shared lock. We can then query along with sys.dm_tran_locks to determine what types of locks these active requests were trying to obtain:
SELECT L.request_session_id, L.resource_type,L.resource_subtype, L.request_mode,
L.request_type
FROM sys.dm_tran_locks AS L
JOIN sys.dm_exec_requests AS DER
ON L.request_session_id = DER.session_id
WHERE DER.wait_type = 'LCK_M_S';
Incorrect:
Not A: Azure SQL database does not have sys.dm_pdw_nodes_tran_locks.
Not E: Azure SQL database does not have sys.dm_pdw_nodes_os_wait_stats.
Reference:
https://www.mssqltips.com/sqlservertip/5521/understanding-and-using-sql-server-sysdmexecrequests/
NEW QUESTION # 270
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.
Answer:
Explanation:
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
NEW QUESTION # 271
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.
Answer:
Explanation:
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.
Basic Concept: This question tests performance optimization for SQL workloads, including Query Store, automatic tuning, index/statistics maintenance, and engine-level resource behavior.
Why the selected answer is Correct: The selected values fit this scenario because they apply the required Azure SQL configuration at the correct scope and sequence: You have an Azure SQL database named DB1.
Why the alternate choices are Wrong: The alternate selections apply to different administrative stages or different scopes. In a hotspot or drag-drop task, order and scope are part of the answer, so a technically valid Azure feature can still be wrong if it is placed in the wrong step.
NEW QUESTION # 272
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:
Explanation
Box 1: delete a row from Table1
Members of the db_datawriter fixed database role can add, delete, or change data in all user tables.
Box 2: db_datareader
Members of the db_datareader fixed database role can read all data from all user tables.
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/security/authentication-access/database-level-roles
NEW QUESTION # 273
Hotspot Question
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:
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 # 274
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