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At Lead1Pass, we are aware that every applicant of the Administering Relational Databases on Microsoft Azure (DP-300) examination is different. We know that everyone has a distinct learning style, situations, and set of goals, therefore we offer Microsoft DP-300 updated exam preparation material in three easy-to-use formats to accommodate every exam applicant's needs. This article will go over the three formats of the Administering Relational Databases on Microsoft Azure (DP-300) practice material that we offer.

Microsoft DP-300 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Implement secure resources	20-25%	- Implement Azure role-based access control and firewall rules 1. Configure Azure Active Directory authentication 2. Implement row-level and column-level security 3. Configure server and database-level firewall rules - Implement a risk mitigation strategy based on requirements 1. Implement security measures for data access and audit 2. Implement Azure Defender for Cloud and threat protection 3. Implement disaster recovery and high availability solutions
Topic 2: Implement a SQL Server database	15-20%	- Provision and configure SQL Server on Azure VMs 1. Implement automated backup and restore 2. Deploy and configure SQL Server on Azure Virtual Machines 3. Configure SQL Server high availability and disaster recovery - Manage SQL Server databases 1. Manage database schemas and objects 2. Monitor and optimize database performance 3. Implement database authentication and authorization
Topic 3: Monitor database operations	10-15%	- Monitor and log database activity 1. Implement auditing and monitoring solutions 2. Configure Azure Monitor and Log Analytics 3. Use DMVs and extended events for monitoring - Troubleshoot database issues 1. Implement backup, restore, and recovery procedures 2. Analyze metrics and alert thresholds 3. Diagnose connectivity and performance issues
Topic 4: Optimize database solutions	10-15%	- Optimize database resources 1. Implement automated tuning recommendations 2. Configure intelligent query processing 3. Implement resource governance and resource pools - Optimize query performance 1. Create and maintain indexes 2. Analyze execution plans and identify performance bottlenecks 3. Implement query Store and Performance Insight
Topic 5: Plan and implement data platform resources	20-25%	- Recommend an appropriate database offering based on requirements 1. Identify requirements for compliance and regulatory standards 2. Evaluate requirements and select appropriate PaaS vs. IaaS offering 3. Recommend appropriate service tier, storage type, and size 4. Recommend multi-factor authentication for database access - Plan and implement data platform resources based on requirements 1. Configure Azure SQL Managed Instance and Azure SQL Database 2. Plan and implement network requirements 3. Implement encryption and data classification 4. Plan for migration of on-premises SQL Server databases
Topic 6: Implement a PaaS database solution	15-20%	- Implement and configure Azure SQL Database 1. Configure elastic pools and serverless options 2. Configure geo-replication and failover groups 3. Implement automatic scaling and performance tuning - Implement and configure Azure SQL Managed Instance 1. Configure instance-level firewall and connectivity 2. Configure Service Broker and SQL Agent jobs 3. Implement linked servers and database mail

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Microsoft Administering Relational Databases on Microsoft Azure Sample Questions (Q265-Q270):

NEW QUESTION # 265
You have an Azure Data Factory pipeline that performs an incremental load of source data to an Azure Data Lake Storage Gen2 account.
Data to be loaded is identified by a column named LastUpdatedDate in the source table.
You plan to execute the pipeline every four hours.
You need to ensure that the pipeline execution meets the following requirements:
Automatically retries the execution when the pipeline run fails due to concurrency or throttling limits.
Supports backfilling existing data in the table.
Which type of trigger should you use?

A. schedule
B. on-demand
C. event
D. tumbling window

Answer: D

Explanation:
The Tumbling window trigger supports backfill scenarios. Pipeline runs can be scheduled for windows in the past.
:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipeline-execution-triggers

NEW QUESTION # 266
You are designing a star schema for a dataset that contains records of online orders. Each record includes an order date, an order due date, and an order ship date.
You need to ensure that the design provides the fastest query times of the records when querying for arbitrary date ranges and aggregating by fiscal calendar attributes.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Use DateTime columns for the date fields.
B. Use built-in SQL functions to extract date attributes.
C. Use integer columns for the date fields.
D. Create a date dimension table that has an integer key in the format of YYYYMMDD.
E. Create a date dimension table that has a DateTime key.

Answer: C,D

Explanation:
Why use a Date Dimension Table in a Data Warehouse.
The Date dimension is one of these dimension tables related to the Fact. Here is a simple Data Diagram for a Data Mart of Internet Sales information for the Adventure Works DW database which can be obtained for free from CodePlex or other online sources.

The relationship is created by the surrogate keys columns (integer data type) rather than the date data type.
The query users have to write against a Data Mart are much simpler than against a transaction database. There are less joins because of the one to many relationships between the fact dimension table(s). The dimension tables are confusing to someone who has been normalizing databases as a career. The dimension is a flattened or de-normalized table. This creates cases of duplicate data, but the simplistic query overrides the duplicate data in a dimensional model.
Reference:
https://www.mssqltips.com/sqlservertip/3117/defining-role-playing-dimensions-for-sql-server-analysis-services/
https://community.idera.com/database-tools/blog/b/community_blog/posts/why-use-a-date-dimension-table-in-a-data-warehouse

NEW QUESTION # 267
You are planning disaster recovery for the failover group of an Azure SQL Database managed instance.
Your company's SLA requires that the database in the failover group become available as quickly as possible if a major outage occurs.
You set the Read/Write failover policy to Automatic.
What are two results of the configuration? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. In the event of an outage, the minimum delay for the databases to fail over in the primary instance will be one hour.
B. In the event of an outage, you can set a different grace period to fail over each database.
C. In the event of a datacenter or Azure regional outage, the databases will fail over automatically.
D. In the event of an outage, you can selectively fail over individual databases.
E. In the event of an outage, the databases in the primary instance will fail over immediately.

Answer: A,C

Explanation:
Explanation
A: Auto-failover groups allow you to manage replication and failover of a group of databases on a server or all databases in a managed instance to another region.
E: Because verification of the scale of the outage and how quickly it can be mitigated involves human actions by the operations team, the grace period cannot be set below one hour. This limitation applies to all databases in the failover group regardless of their data synchronization state.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/auto-failover-group-overview

NEW QUESTION # 268
You plan to deploy an Always On failover cluster instance (FCI) on Azure virtual machines.
You need to provision an Azure Storage account to host a cloud witness for the deployment.
How should you configure the storage account? 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 high availability and disaster recovery design for Azure SQL, SQL Server on Azure VMs, and regional failure scenarios.
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 provision an Azure Storage account to host a cloud witness for the deployment.
Why the alternate choices are Wrong: The alternate choices do not satisfy the stated availability design because quorum and listener resources must match Azure failover-cluster behavior and the required SLA.

NEW QUESTION # 269
You are creating a managed data warehouse solution on Microsoft Azure.
You must use PolyBase to retrieve data from Azure Blob storage that resides in parquet format and load the data into a large table called FactSalesOrderDetails.
You need to configure Azure Synapse Analytics to receive the data.
Which four 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:

To query the data in your Hadoop data source, you must define an external table to use in Transact-SQL queries. The following steps describe how to configure the external table.
Step 1: Create a master key on database.
1. Create a master key on the database. The master key is required to encrypt the credential secret.
(Create a database scoped credential for Azure blob storage.)
Step 2: Create an external data source for Azure Blob storage.
2. Create an external data source with CREATE EXTERNAL DATA SOURCE..
Step 3: Create an external file format to map the parquet files.
3. Create an external file format with CREATE EXTERNAL FILE FORMAT.
Step 4. Create an external table FactSalesOrderDetails
4. Create an external table pointing to data stored in Azure storage with CREATE EXTERNAL TABLE.
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/polybase/polybase-configure-azure-blob-storage

NEW QUESTION # 270
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