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  2. Microsoft Certification
  3. DP-300 Exam
  4. Microsoft.DP-300.v2022-08-03.q185 Dumps
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Question 136

You have a version-8.0 Azure Database for MySQL database.
You need to identify which database queries consume the most resources.
Which tool should you use?

Correct Answer: A
The Query Store feature in Azure Database for MySQL provides a way to track query performance over time.
Query Store simplifies performance troubleshooting by helping you quickly find the longest running and most resource-intensive queries. Query Store automatically captures a history of queries and runtime statistics, and it retains them for your review. It separates data by time windows so that you can see database usage patterns.
Data for all users, databases, and queries is stored in the mysql schema database in the Azure Database for MySQL instance.
Reference:
https://docs.microsoft.com/en-us/azure/mysql/concepts-query-store
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Question 137

You have an Azure SQL database.
You discover that the plan cache is full of compiled plans that were used only once.
You run the select * from sys.database_scoped_configurationsTransact-SQL command and
receive the results shown in the following table.

You need relieve the memory pressure.
What should you configure?

Correct Answer: C
Section: [none]
Explanation:
OPTIMIZE_FOR_AD_HOC_WORKLOADS = { ON | OFF }
Enables or disables a compiled plan stub to be stored in cache when a batch is compiled for the first time. The
default is OFF. Once the database scoped configuration OPTIMIZE_FOR_AD_HOC_WORKLOADS is enabled
for a database, a compiled plan stub will be stored in cache when a batch is compiled for the first time. Plan
stubs have a smaller memory footprint compared to the size of the full compiled plan.
Incorrect Answers:
A: LEGACY_CARDINALITY_ESTIMATION = { ON | OFF | PRIMARY }
Enables you to set the query optimizer cardinality estimation model to the SQL Server 2012 and earlier version
independent of the compatibility level of the database. The default is OFF, which sets the query optimizer
cardinality estimation model based on the compatibility level of the database.
B: QUERY_OPTIMIZER_HOTFIXES = { ON | OFF | PRIMARY }
Enables or disables query optimization hotfixes regardless of the compatibility level of the database. The default
is OFF, which disables query optimization hotfixes that were released after the highest available compatibility
level was introduced for a specific version (post-RTM).
Reference:
https://docs.microsoft.com/en-us/sql/t-sql/statements/alter-database-scoped-configuration-transact-sql
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Question 138

HOTSPOT
You are performing exploratory analysis of bus fare data in an Azure Data Lake Storage Gen2 account by using an Azure Synapse Analytics serverless SQL pool.
You execute the Transact-SQL query 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.
Hot Area:

Correct Answer:

Section: [none]
Explanation:
Box 1: CSV files that have file named beginning with "tripdata_2020"
Box 2: a header
FIRSTROW = 'first_row'
Specifies the number of the first row to load. The default is 1 and indicates the first row in the specified data file.
The row numbers are determined by counting the row terminators. FIRSTROW is 1-based.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/develop-openrowset
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Question 139

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 Data Lake Storage account that contains a staging zone.
You need to design a daily process to ingest incremental data from the staging zone, transform the data by executing an R script, and then insert the transformed data into a data warehouse in Azure Synapse Analytics.
Solution: You schedule an Azure Databricks job that executes an R notebook, and then inserts the data into the data warehouse.
Does this meet the goal?

Correct Answer: B
Section: [none]
Explanation:
Must use an Azure Data Factory, not an Azure Databricks job.
Reference:
https://docs.microsoft.com/en-US/azure/data-factory/transform-data
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Question 140

A company plans to use Apache Spark analytics to analyze intrusion detection data.
You need to recommend a solution to analyze network and system activity data for malicious activities and policy violations. The solution must minimize administrative efforts.
What should you recommend?

Correct Answer: C
Section: [none]
Explanation:
Azure HDInsight offers pre-made, monitoring dashboards in the form of solutions that can be used to monitor the workloads running on your clusters. There are solutions for Apache Spark, Hadoop, Apache Kafka, live long and process (LLAP), Apache HBase, and Apache Storm available in the Azure Marketplace.
Note: With Azure HDInsight you can set up Azure Monitor alerts that will trigger when the value of a metric or the results of a query meet certain conditions. You can condition on a query returning a record with a value that is greater than or less than a certain threshold, or even on the number of results returned by a query. For example, you could create an alert to send an email if a Spark job fails or if a Kafka disk usage becomes over
90 percent full.
Reference:
https://azure.microsoft.com/en-us/blog/monitoring-on-azure-hdinsight-part-4-workload-metrics-and-logs/
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