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| Section | Objectives |
|---|---|
| Topic 1: Optimize query performance | - Improve performance
|
| Topic 2: Plan and implement data platform resources | - Deploy and configure infrastructure
|
| Topic 3: Plan and implement a high availability and disaster recovery environment | - Design HA/DR solutions
|
| Topic 4: Implement a secure environment | - Implement data protection
|
| Topic 5: Monitor and optimize operational resources | - Optimize resources
|
| Topic 6: Perform automation | - Automate database tasks
|
>> DP-300 Latest Exam Answers <<
PracticeDump is a trusted platform that is committed to helping Microsoft DP-300 exam candidates in exam preparation. The DP-300 exam questions are real and updated and will repeat in the upcoming DP-300 exam dumps. By practicing again and again you will become an expert to solve all the Administering Relational Databases on Microsoft Azure exam questions completely and before the exam time. As far as the Microsoft DP-300 Practice Test are concerned, these Microsoft DP-300 practice questions are designed and verified by the experience and qualified Administering Relational Databases on Microsoft Azure exam trainers.
NEW QUESTION # 345
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
Graphical user interface, text, application Description automatically generated
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-partitio
NEW QUESTION # 346
You have a SQL Server on Azure Virtual Machines instance that hosts a database named Db1.
You need to configure the autogrow and autoshrink settings for DB1.
Which statements should you use? 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/troubleshoot/sql/admin/considerations-autogrow-autoshrink
NEW QUESTION # 347
You are designing an enterprise data warehouse in Azure Synapse Analytics that will store website traffic analytics in a star schema.
You plan to have a fact table for website visits. The table will be approximately 5 GB.
You need to recommend which distribution type and index type to use for the table. The solution must provide the fastest query performance.
What should you recommend? 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/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-distribute
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-index
NEW QUESTION # 348
HOTSPOT
You are designing an enterprise data warehouse in Azure Synapse Analytics that will store website traffic analytics in a star schema.
You plan to have a fact table for website visits. The table will be approximately 5 GB.
You need to recommend which distribution type and index type to use for the table. The solution must provide the fastest query performance.
What should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
Answer:
Explanation:
Section: [none]
Explanation:
Box 1: Hash
Consider using a hash-distributed table when:
The table size on disk is more than 2 GB.
The table has frequent insert, update, and delete operations.
Box 2: Clustered columnstore
Clustered columnstore tables offer both the highest level of data compression and the best overall query performance.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables- distribute
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-index
NEW QUESTION # 349
You are evaluating the role assignments.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Yes
DBAGroup1 is member of the Contributor role.
The Contributor role grants full access to manage all resources, but does not allow you to assign roles in Azure RBAC, manage assignments in Azure Blueprints, or share image galleries.
Box 2: No
Box 3: Yes
DBAGroup2 is member of the SQL DB Contributor role.
The SQL DB Contributor role lets you manage SQL databases, but not access to them. Also, you can't manage their security-related policies or their parent SQL servers. As a member of this role you can create and manage SQL databases.
Reference:
https://docs.microsoft.com/en-us/azure/role-based-access-control/built-in-roles
NEW QUESTION # 350
......
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