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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitor database operations | 10-15% | - Monitor and log database activity
|
| Topic 2: Implement a SQL Server database | 15-20% | - Manage SQL Server databases
|
| Topic 3: Implement secure resources | 20-25% | - Implement Azure role-based access control and firewall rules
|
| Topic 4: Optimize database solutions | 10-15% | - Optimize database resources
|
| Topic 5: Plan and implement data platform resources | 20-25% | - Recommend an appropriate database offering based on requirements
|
| Topic 6: Implement a PaaS database solution | 15-20% | - Implement and configure Azure SQL Database
|
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NEW QUESTION # 409
You have a SQL Server on Azure Virtual Machines instance that hosts a 10-TB SQL database named DB1.
You need to identify and repair any physical or logical corruption in DB1. The solution must meet the following requirements:
* Minimize how long it takes to complete the procedure.
* Minimize data loss.
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:
Explanation
NEW QUESTION # 410
You plan to move two 100-GB databases to Azure.
You need to dynamically scale resources consumption based on workloads. The solution must minimize downtime during scaling operations.
What should you use?
Answer: A
Explanation:
Explanation
Azure SQL Database elastic pools are a simple, cost-effective solution for managing and scaling multiple databases that have varying and unpredictable usage demands. The databases in an elastic pool are on a single server and share a set number of resources at a set price.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/elastic-pool-overview
NEW QUESTION # 411
You have an Azure data factory that has two pipelines named PipelineA and PipelineB.
PipelineA has four activities as shown in the following exhibit.
PipelineB has two activities as shown in the following exhibit.
You create an alert for the data factory that uses Failed pipeline runs metrics for both pipelines and all failure types. The metric has the following settings:
Operator: Greater than
Aggregation type: Total
Threshold value: 2
Aggregation granularity (Period): 5 minutes
Frequency of evaluation: Every 5 minutes
Data Factory monitoring records the failures shown in the following table.
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:
Reference:
https://docs.microsoft.com/en-us/azure/azure-monitor/alerts/alerts-metric-overview
NEW QUESTION # 412
Hotspot Question
You have an Azure SQL database named DB1 that contains the following tables:
- dbo.Customers contains two columns named EmailAddress (varchar(100))
and PhoneNumber (varchar(20)).
- dbo.Orders contains a computed column named ContactHash defined as
HASHBYTES('SHA2_256', Customers.EmailAddress).
DB1 has the following dynamic data masking configurations:
- dbo.Customers.EmailAddress uses the email() masking function.
- dbo.Customers.PhoneNumber uses the default() masking function.
DB1 contains the following users:
- User1 is a member of db_datareader and has the SELECT permission on
both tables. The UNMASK permission is granted only at the column scope
on dbo.Customers(EmailAddress).
- User2 is a member of db_datareader and has the SELECT permission on
both tables. The UNMASK permission is NOT granted.
A data engineering job named Job1 connects as User2 and runs the following statement every night.
SELECT ... INTO Archive.CustomersExport FROM dbo.Customers
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: No
No - Job1 returns unmasked values for EmailAddress and PhoneNumber.
The job will not return unmasked values; instead, it will copy masked data into the target table because user USER2 does not possess the UNMASK permission.
USER2 Lacks Permission: User USER2 only has standard SELECT rights via db_datareader and no UNMASK permissions.
Masking is Enforced: Because USER2 lacks UNMASK, Dynamic Data Masking (DDM) applies to the query results in real time.
Masked Data is Copied: The SELECT ... INTO statement reads the masked text (aXXX@XXXX.com for emails and xxxx for phone numbers) and writes those exact masked strings permanently into the new Archive.CustomersExport table.
Box 2: Yes
Yes - When User1 queries dbo.Customers.EmailAddress returns unmasked values, while PhoneNumber returns masked values.
dbo.Customers.EmailAddress: Unmasked for USER1 (explicit column grant). Masked for USER2.
dbo.Customers.PhoneNumber: Masked for both USER1 and USER2 (neither has UNMASK for this column).
Box 3: Yes
Yes - When User2 runs a query that selects dbo.Orders.ContactHash, the value returned for ContactHash is masked.
The value returned for ContactHash will be masked.
Dependent Column Evaluation: In Azure SQL Database, when a computed column (like ContactHash) depends on a base column that has a dynamic data masking rule applied (Customers.EmailAddress), the database engine evaluates the masking rule first.
Masked Data Processing: Because user USER2 does not have the UNMASK permission, the engine feeds the masked string result (e.g., aXXX@XXXX.com) into the HASHBYTES('SHA2_256', ...) function instead of the original plain-text email address.
Resulting Output: As a result, the value stored or evaluated for ContactHash becomes a SHA-256 hash of the masked string, effectively keeping the original underlying data hidden and protected from unauthorized exposure.
Reference:
https://learn.microsoft.com/en-us/sql/relational-databases/security/dynamic-data-masking
NEW QUESTION # 413
You need to recommend a configuration for ManufacturingSQLDb1 after the migration to Azure. The solution must meet the business requirements.
What should you include in the recommendation? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Scenario: Business Requirements
Litware identifies business requirements include: meet an SLA of 99.99% availability for all Azure deployments.
Box 1: Cloud witness
If you have a Failover Cluster deployment, where all nodes can reach the internet (by extension of Azure), it is recommended that you configure a Cloud Witness as your quorum witness resource.
Box 2: Azure Basic Load Balancer
Microsoft guarantees that a Load Balanced Endpoint using Azure Standard Load Balancer, serving two or more Healthy Virtual Machine Instances, will be available 99.99% of the time.
Note: There are two main options for setting up your listener: external (public) or internal. The external (public) listener uses an internet facing load balancer and is associated with a public Virtual IP (VIP) that is accessible over the internet. An internal listener uses an internal load balancer and only supports clients within the same Virtual Network.
eference:
https://technet.microsoft.com/windows-server-docs/failover-clustering/deploy-cloud-witness
https://azure.microsoft.com /en-us/support/legal/sla /load-balancer/v1_0/
NEW QUESTION # 414
......
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