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NEW QUESTION: 1
A company uses Azure SQL Database to store data for an app. The data includes sensitive information.
You need to implement measures that allow only members of the managers group to see sensitive information.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Option C
B. Option D
C. Option E
D. Option B
E. Option A
Answer: C,D
Explanation:
Dynamic data masking helps prevent unauthorized access to sensitive data by enabling customers to designate how much of the sensitive data to reveal with minimal impact on the application layer.
SQL users excluded from masking - A set of SQL users or AAD identities that get unmasked data in the SQL query results.
Note: The New-AzureRmSqlDatabaseDataMaskingRule cmdlet creates a data masking rule for an Azure SQL database.
References:
https://docs.microsoft.com/en-us/powershell/module/azurerm.sql/new-azurermsqldatabasedatamaskingrule?view=azurermps-6.13.0
NEW QUESTION: 2
A company is looking to reduce the likelihood of employees in the finance department being involved with money laundering. Which of the following controls would BEST mitigate this risk?
A. Implement a security policy
B. Implement privacy policies
C. Enforce mandatory vacations
D. Enforce time of day restrictions
Answer: C
Explanation:
A mandatory vacation policy requires all users to take time away from work to refresh. And in the same time it also gives the company a chance to make sure that others can fill in any gaps in skills and satisfy the need to have replication or duplication at all levels in addition to affording the company an opportunity to discover fraud for when others do the same job in the absence of the regular staff member then there is transparency.
NEW QUESTION: 3
You need to build an A) solution that will be shared between several developers and customers.
You plan to write code, host code, and document the runtime all within a single user experience.
You build the environment to host the solution.
Which three actions should you perform in sequence next? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
Step 1: Create an Azure Machine Learning Studio workspace
Step 2: Create a notebook
You can manage notebooks using the UI, the CLI, and by invoking the Workspace API.
To create a notebook
* Click the Workspace button Workspace Icon or the Home button Home Icon in the sidebar. Do one of the following:
Next to any folder, click the Menu Dropdown on the right side of the text and select Create > Notebook.
Create Notebook
In the Workspace or a user folder, click Down Caret and select Create > Notebook.
2. In the Create Notebook dialog, enter a name and select the notebook's primary language.
3. If there are running clusters, the Cluster drop-down displays. Select the cluster to attach the notebook to.
4. Click Create.
Step 3: Create a new experiment
Create a new experiment by clicking +NEW at the bottom of the Machine Learning Studio window. Select EXPERIMENT > Blank Experiment.
References:
https://docs.azuredatabricks.net/user-guide/notebooks/notebook-manage.html
https://docs.microsoft.com/en-us/azure/machine-learning/service/quickstart-run-cloud-notebook
NEW QUESTION: 4
An inbound EDI process receives X12 and EDIFACT files where the functional group can contain multiple X12 transaction sets or EDIFACT messages. However, it is a requirement of the backend interface that will receive the translated data that only one transaction or message per file is delivered to the interface. Where is this configured?
A. Transaction level Document Envelope
B. Interchange level Document Envelope
C. Parameter passed to theX12Deenvelope or the EDIFACTDeenvelope service
D. Parameter in customer_overrides.properties file
Answer: A