DP-300 Latest Exam Preparation | Reliable DP-300 Test Bootcamp

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Microsoft DP-300: Administering Relational Databases on Microsoft Azure exam is a challenging yet rewarding certification for IT professionals looking to enhance their skills and advance their career in database administration. With the right training and preparation, candidates can successfully pass the exam and demonstrate their expertise in managing databases on the Azure platform.

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How to Register For Exam DP-300: Administering Relational Databases on Microsoft Azure?

Exam Register Link: https://examregistration.microsoft.com/?locale=en-us&examcode=DP-300&examname=Exam%20DP-300:%20Administering%20Relational%20Databases%20on%20Microsoft%20Azure&returnToLearningUrl=https%3A%2F%2Fdocs.microsoft.com%2Flearn%2Fcertifications%2Fexams%2Fdp-300

Microsoft Administering Relational Databases on Microsoft Azure Sample Questions (Q76-Q81):

NEW QUESTION # 76
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure Synapse Analytics dedicated SQL pool that contains a table named Table1.
You have files that are ingested and loaded into an Azure Data Lake Storage Gen2 container named container1.
You plan to insert data from the files into Table1 and transform the data. Each row of data in the files will produce one row in the serving layer of Table1.
You need to ensure that when the source data files are loaded to container1, the DateTime is stored as an additional column in Table1.
Solution: In an Azure Synapse Analytics pipeline, you use a Get Metadata activity that retrieves the DateTime of the files.
Does this meet the goal?

  • A. No
  • B. Yes

Answer: B

Explanation:
You can use the Get Metadata activity to retrieve the metadata of any data in Azure Data Factory or a Synapse pipeline. You can use the output from the Get Metadata activity in conditional expressions to perform validation, or consume the metadata in subsequent activities.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/control-flow-get-metadata-activity


NEW QUESTION # 77
Hotspot Question
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 # 78
You have an Azure subscription that contains a resource group named RG1. RG1 contains an instance of SQL Server on Azure Virtual Machines named SQL You need to use PowerShell to enable and configure automated patching for SQL The solution must include both SQL Server and Windows security updates.
How should you complete the command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 79
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:

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 # 80
You deploy a database to an Azure SQL Database managed instance.
You need to prevent read queries from blocking queries that are trying to write to the database.
Which database option should set?

  • A. Delayed Durability to Forced
  • B. PARAMETERIZATION to SIMPLE
  • C. READ_COMMITTED_SNAPSHOT to ON
  • D. PARAMETERIZATION to FORCED

Answer: C

Explanation:
In SQL Server, you can also minimize locking contention while protecting transactions from dirty reads of uncommitted data modifications using either:
* The READ COMMITTED isolation level with the READ_COMMITTED_SNAPSHOT database option set to ON.
* The SNAPSHOT isolation level.
If READ_COMMITTED_SNAPSHOT is set to ON (the default on SQL Azure Database), the Database Engine uses row versioning to present each statement with a transactionally consistent snapshot of the data as it existed at the start of the statement. Locks are not used to protect the data from updates by other transactions.
Incorrect Answers:
A: When the PARAMETERIZATION database option is set to SIMPLE, the SQL Server query optimizer may choose to parameterize the queries. This means that any literal values that are contained in a query are substituted with parameters. This process is referred to as simple parameterization. When SIMPLE parameterization is in effect, you cannot control which queries are parameterized and which queries are not.
B: You can specify that all queries in a database be parameterized by setting the PARAMETERIZATION database option to FORCED. This process is referred to as forced parameterization.
C: Delayed transaction durability is accomplished using asynchronous log writes to disk. Transaction log records are kept in a buffer and written to disk when the buffer fills or a buffer flushing event takes place. Delayed transaction durability reduces both latency and contention within the system.
Some of the cases in which you could benefit from using delayed transaction durability are:
* You can tolerate some data loss.
* You are experiencing a bottleneck on transaction log writes.
* Your workloads have a high contention rate.
Reference:
https://docs.microsoft.com/en-us/sql/t-sql/statements/set-transaction-isolation-level-transact-sql


NEW QUESTION # 81
......

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