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The DP-300 exam covers a wide range of topics, including Azure SQL database deployment, management, security, backup, and recovery. DP-300 exam also tests the candidate's understanding of Azure SQL database architecture, performance tuning, and high availability. DP-300 exam format consists of multiple-choice questions, case studies, and hands-on lab exercises.
Microsoft DP-300 exam is designed for database administrators who want to learn how to administer and manage relational databases on Microsoft Azure. DP-300 Exam is targeted towards individuals who have experience with SQL Server, Azure SQL Database, and SQL Server on Azure Virtual Machines. DP-300 exam measures the ability of candidates to perform various database administration tasks, including data security, backup and recovery, performance tuning, and monitoring.
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NEW QUESTION # 330
You are designing a date dimension table in an Azure Synapse Analytics dedicated SQL pool. The date
dimension table will be used by all the fact tables.
Which distribution type should you recommend to minimize data movement?
Answer: B
Explanation:
A replicated table has a full copy of the table available on every Compute node. Queries run fast on replicated tables since joins on replicated tables don't require data movement. Replication requires extra storage, though, and isn't practical for large tables.
Incorrect Answers:
C: A round-robin distributed table distributes table rows evenly across all distributions. The assignment of rows to distributions is random. Unlike hash-distributed tables, rows with equal values are not guaranteed to be assigned to the same distribution.
As a result, the system sometimes needs to invoke a data movement operation to better organize your data before it can resolve a query.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-distribute
NEW QUESTION # 331
You need to implement authentication for ResearchDB1. The solution must meet the security and compliance requirements.
What should you run as part of the implementation?
Answer: D
Explanation:
Section: [none]
Explanation:
Scenario: Authenticate database users by using Active Directory credentials.
(Create a new Azure SQL database named ResearchDB1 on a logical server named ResearchSrv01.) Authenticate the user in SQL Database or SQL Data Warehouse based on an Azure Active Directory user:
CREATE USER [Fritz@contoso.com] FROM EXTERNAL PROVIDER;
Reference:
https://docs.microsoft.com/en-us/sql/t-sql/statements/create-user-transact-sql Question Set 2
NEW QUESTION # 332
You are creating a managed data warehouse solution on Microsoft Azure.
You must use PolyBase to retrieve data from Azure Blob storage that resides in parquet format and load the data into a large table called FactSalesOrderDetails.
You need to configure Azure Synapse Analytics to receive the data.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
1 - Create a master key on database.
2 - Create an external data source for Azure Blob storage.
3 - Create an external file format to map the parquet files.
4 - Create an external table FactSalesOrderDetails
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/polybase/polybase-configure-azure-blob-storage
NEW QUESTION # 333
You have an Azure subscription that contains an Azure SQL database named db1.
You need to implement SQL insights for db1.
Which two resources should you create first? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point
Answer: A,D
Explanation:
Basic Concept: This question tests monitor, configure, and optimize database resources in the DP-300 exam context. The correct choice is determined by the exact service boundary and operational requirement stated in the scenario.
Why B and D is Correct: a virtual machine is related to operational monitoring or tuning, but it must match the exact signal needed: query history, resource utilization, wait/blocking detail, or automatic remediation.
This fits the case because the requested outcome is: You need to implement SQL insights for db1. The selected feature addresses that outcome directly rather than relying on a workaround. a Log Analytics workspace matches the expected DP-300 administration action. Log Analytics stores logs and metrics in a queryable workspace and supports workbooks, dashboards, alerting, and cross-resource analysis. The question is not asking for a general Azure capability; it is asking for the feature that produces this result: You need to implement SQL insights for db1.
Why A is Wrong: an Azure logic app is related to operational monitoring or tuning, but it must match the exact signal needed: query history, resource utilization, wait/blocking detail, or automatic remediation. It is useful in other troubleshooting paths, but this scenario requires a more specific monitoring or optimization feature.
Why C is Wrong: an Azure function is related to operational monitoring or tuning, but it must match the exact signal needed: query history, resource utilization, wait/blocking detail, or automatic remediation. It does not expose the required metric, query history, wait/blocking signal, or tuning mechanism; using it would not give the administrator the evidence requested.
Why E is Wrong: a storage account is related to operational monitoring or tuning, but it must match the exact signal needed: query history, resource utilization, wait/blocking detail, or automatic remediation. It would produce a different operational signal than the one needed to investigate, alert, or tune the workload in this question.
NEW QUESTION # 334
You have an Azure Databricks resource.
You need to log actions that relate to changes in compute for the Databricks resource.
Which Databricks services should you log?
Answer: E
Explanation:
Cloud Provider Infrastructure Logs.
Databricks logging allows security and admin teams to demonstrate conformance to data governance standards within or from a Databricks workspace. Customers, especially in the regulated industries, also need records on activities like:
User access control to cloud data storage
Cloud Identity and Access Management roles
User access to cloud network and compute
Azure Databricks offers three distinct workloads on several VM Instances tailored for your data analytics workflow-the Jobs Compute and Jobs Light Compute workloads make it easy for data engineers to build and execute jobs, and the All-Purpose Compute workload makes it easy for data scientists to explore, visualize, manipulate, and share data and insights interactively.
Reference:
https://databricks.com/blog/2020/03/25/trust-but-verify-with-databricks.html
NEW QUESTION # 335
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