DP-300 Test Objectives Pdf, DP-300 Updated Dumps

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Microsoft DP-300 Exam Syllabus Topics:

Section	Weight	Objectives
Optimize query performance	15–20%	- Manage workload performance 1. Control resource usage and concurrency 2. Troubleshoot slow-running queries 3. Implement partitioning and compression - Analyze query execution plans 1. Evaluate index usage and design 2. Identify bottlenecks and inefficiencies 3. Interpret execution plans and statistics - Improve query performance 1. Optimize T-SQL code and constructs 2. Use query store and performance tuning tools 3. Create and modify indexes
Plan and implement data platform resources	15–20%	- Implement migration strategies 1. Migrate between Azure services or from on-premises 2. Evaluate migration requirements and strategies 3. Perform offline and online migrations - Plan deployment of database offerings 1. Evaluate deployment options for Azure SQL services 2. Plan for scalability and performance requirements 3. Identify use cases for hybrid and multi-cloud solutions - Deploy database resources 1. Deploy Azure SQL Database, Managed Instance, and SQL Server on Azure VMs 2. Configure resources for scale and performance 3. Automate deployment using templates, PowerShell, or CLI
Monitor and optimize operational resources	15–20%	- Optimize resource consumption 1. Manage costs and licensing 2. Implement auto-scaling and elasticity 3. Adjust compute, storage, and tier settings - Automate maintenance and operations 1. Schedule and perform updates and patches 2. Manage database lifecycle operations 3. Automate tasks using jobs, scripts, or Logic Apps - Monitor database performance and health 1. Use Azure Monitor, SQL Insights, and metrics 2. Identify and diagnose performance issues 3. Set up alerts and notifications
Plan and configure high availability and disaster recovery	20–25%	- Design HA/DR strategy 1. Define RPO and RTO requirements 2. Choose between built-in and custom solutions 3. Evaluate hybrid and cross-region options - Implement backup and restore 1. Configure automated backups and retention 2. Perform point-in-time and long-term retention restores 3. Manage backup storage and costs - Configure high availability solutions 1. Test and monitor HA/DR operations 2. Configure Always On availability groups 3. Implement failover groups and auto-failover
Implement a secure environment	20–25%	- Implement compliance and security controls 1. Implement data masking and classification 2. Configure auditing and logging 3. Assess and remediate vulnerabilities - Secure data at rest and in transit 1. Configure encryption for connections and data transfer 2. Implement Transparent Data Encryption 3. Manage keys and certificates - Configure authentication and authorization 1. Implement Microsoft Entra ID authentication 2. Manage database users, roles, and permissions 3. Apply least privilege principle

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Microsoft Administering Relational Databases on Microsoft Azure Sample Questions (Q240-Q245):

NEW QUESTION # 240
You need to trigger an Azure Data Factory pipeline when a file arrives in an Azure Data Lake Storage Gen2 container.
Which resource provider should you enable?

A. Microsoft.Automation
B. Microsoft.EventGrid
C. Microsoft.EventHub
D. Microsoft.Sql

Answer: B

Explanation:
Section: [none]
Explanation:
Event-driven architecture (EDA) is a common data integration pattern that involves production, detection, consumption, and reaction to events. Data integration scenarios often require Data Factory customers to trigger pipelines based on events happening in storage account, such as the arrival or deletion of a file in Azure Blob Storage account. Data Factory natively integrates with Azure Event Grid, which lets you trigger pipelines on such events.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/how-to-create-event-trigger

NEW QUESTION # 241
You have an Azure SQL database named DB1 that contains a table named Orders. The Orders table contains a row for each sales order. Each sales order includes the name of the user who placed the order.
You need to implement row-level security (RLS). The solution must ensure that the users can view only their respective sales orders.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Basic Concept: This question tests secure database administration, where the control must match the data state, access boundary, identity model, or compliance requirement.
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 need to implement row-level security (RLS).
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 # 242
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.

Answer:

Explanation:

Explanation
Graphical user interface, text, application Description automatically generated

Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/always-encrypted-azure-key-vault-configure?tabs=azu

NEW QUESTION # 243
You plan to develop a dataset named Purchases by using Azure Databricks. Purchases will contain the following columns:
* ProductID
* ItemPrice
* LineTotal
* Quantity
* StoreID
* Minute
* Month
* Hour
* Year
* Day
You need to store the data to support hourly incremental load pipelines that will vary for each StoreID. The solution must minimize storage costs.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

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

Box 1: .partitionBy
Example:
df.write.partitionBy("y","m","d")
mode(SaveMode.Append)
parquet("/data/hive/warehouse/db_name.db/" + tableName)
Box 2: ("Year","Month","Day","Hour","StoreID")
Box 3: .parquet("/Purchases")
Reference:
https://intellipaat.com/community/11744/how-to-partition-and-write-dataframe-in-spark-without-deleting-partitio

NEW QUESTION # 244
You have an Azure SQL logical server.
You run the following script.

Answer:

Explanation:

Explanation
Yes
No
No

NEW QUESTION # 245
......

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