Valid Exam DP-300 Preparation, Exam DP-300 Assessment

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Microsoft DP-300 exam is a professional-level certification that validates the skills and knowledge required to administer relational databases on the Microsoft Azure cloud platform. DP-300 exam is designed for database administrators who are responsible for managing and maintaining databases on Azure, and who have experience with SQL Server and Azure data services. DP-300 exam assesses the ability to implement security, backup and recovery, high availability, and performance tuning solutions for Azure databases.

Microsoft DP-300 Exam consists of multiple-choice questions and performance-based tasks that require candidates to demonstrate their ability to perform various database administration tasks on Azure. DP-300 exam is divided into several sections, each of which covers a specific area of database administration. Candidates must score at least 700 out of 1000 points to pass the exam.

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Microsoft Administering Relational Databases on Microsoft Azure Sample Questions (Q170-Q175):

NEW QUESTION # 170
You have an Azure subscription that contains a logical SQL server. The server hosts two databases named db1 and db2 and an Azure AD service principal named app1.
You need to ensure that app1 can access db1. The solution must use the principle of least privilege.
How should you complete the Transact-SQL statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

https://learn.microsoft.com/en-us/azure/azure-sql/database/authentication-aad-service-principal-tutorial?view=az


NEW QUESTION # 171
You have an Azure subscription.
You need to deploy an Azure SQL managed instance by using an Azure Resource Manager (ARM) template. The solution must meet the following requirements:
The SQL managed instance must be assigned a unique identity.
The SQL managed instance must be available in the event of an Azure datacenter outage.
How should you complete the template? 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:


NEW QUESTION # 172
You have the following Transact-SQL query.

Which column returned by the query represents the free space in each file?

Answer: B

Explanation:
Example:
Free space for the file in the below query result set will be returned by the FreeSpaceMB column.
SELECT DB_NAME() AS DbName,
name AS FileName,
type_desc,
size/128.0 AS CurrentSizeMB,
size/128.0 - CAST(FILEPROPERTY(name, 'SpaceUsed') AS INT)/128.0 AS FreeSpaceMB FROM sys.database_files WHERE type IN (0,1); Reference:
https://www.sqlshack.com/how-to-determine-free-space-and-file-size-for-sql-server-databases/


NEW QUESTION # 173
You have an Azure subscription that contains a logical SQL server. The server hosts two databases named db1 and db2 and an Azure AD sen/ice principal named appl.
You need to ensure that appl can access db1. The solution must use the principle of least privilege.
How should you complete the Transact-SQL statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation


NEW QUESTION # 174
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:

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- partitions-with-no-new-data


NEW QUESTION # 175
......

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