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The DP-300 exam is an essential certification for anyone looking to enhance their career in database administration. DP-300 exam is challenging, and passing it requires a significant amount of preparation and expertise. However, obtaining this certification is worth the effort, as it helps database administrators demonstrate their proficiency in managing and maintaining databases in an Azure environment. Moreover, the DP-300 Certification is recognized globally and is highly valued by organizations that use Microsoft Azure services.

Microsoft Administering Relational Databases on Microsoft Azure Sample Questions (Q151-Q156):

NEW QUESTION # 151
You are building an Azure virtual machine.
You allocate two 1-TiB, P30 premium storage disks to the virtual machine. Each disk provides 5,000 IOPS.
You plan to migrate an on-premises instance of Microsoft SQL Server to the virtual machine. The instance has a database that contains a 1.2-TiB data file. The database requires 10,000 IOPS.
You need to configure storage for the virtual machine to support the database.
Which three objects should you create in sequence? To answer, move the appropriate objects from the list of objects to the answer area and arrange them in the correct order.

Answer:

Explanation:

Explanation

Follow these same steps to create striped virtual disk:
Create Log Storage Pool.
Create Virtual Disk
Create Volume
Box 1: a storage pool
Box 2: a virtual disk that uses stripe layout
Disk Striping: Use multiple disks and stripe them together to get a combined higher IOPS and Throughput limit. The combined limit per VM should be higher than the combined limits of attached premium disks.
Box 3: a volume
Reference:
https://hanu.com/hanu-how-to-striping-of-disks-for-azure-sql-server/


NEW QUESTION # 152
You have an Azure subscription.
You need to deploy an Azure SQL resource that will support cross database queries by using an Azure Resource Manager (ARM) template.
How should you complete the ARM template? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/managed-instance/create-template-quickstart?tabs=azure-powershell


NEW QUESTION # 153
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.

Answer:

Explanation:

Explanation:

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.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/source-control


NEW QUESTION # 154
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 # 155
You have a Microsoft SQL Server 2017 server that hosts five databases.
You Plan to migrate the databases to Azure.
You need to recommend a solution that meets the following requirements:
Automatically scales compute based on the workload demand
Provides per-second billing
What should you include in the recommendation? To answer, select the appropriate options in the answer area.

Answer:

Explanation:


NEW QUESTION # 156
......

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