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← Design and implement data security practice sets

DP-203 Design and implement data security • Complete Question Bank

DP-203 Design and implement data security — All Questions With Answers

Complete DP-203 Design and implement data security question bank — all 0 questions with answers and detailed explanations.

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Certifications/DP-203/Practice Test/Design and implement data security/All Questions
Question 1mediummultiple choice
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A company uses Azure Synapse Analytics dedicated SQL pool. They need to ensure that only users with a specific Azure AD group can query a particular schema. Which approach should they use?

Question 2easymultiple choice
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You are designing data security for Azure Data Lake Storage Gen2. The requirement is to prevent data from being accessed by anyone outside the corporate network. Which feature should you enable?

Question 3hardmultiple choice
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A company uses Azure Data Factory to copy sensitive data from on-premises SQL Server to Azure Blob Storage. They must ensure that data is encrypted in transit and at rest. Which combination of features should they use?

Question 4easymultiple choice
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You need to audit all data access to an Azure Storage account. Which Azure service should you enable?

Question 5mediummultiple choice
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A company uses Azure Key Vault to store secrets for data pipelines. They need to rotate the secrets automatically every 90 days. What should they implement?

Question 6mediummulti select
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Which TWO of the following are valid methods to secure data at rest in Azure Data Lake Storage Gen2?

Question 7hardmulti select
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Which THREE of the following are required to implement column-level security in Azure Synapse Analytics dedicated SQL pool?

Question 8mediummultiple choice
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A company uses Azure Synapse Analytics with dedicated SQL pools. They need to allow a data scientist to read all tables in the 'sales' schema but prevent access to columns containing personally identifiable information (PII). Which feature should be used?

Question 9hardmultiple choice
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A company has an Azure Data Lake Storage Gen2 account. They want to ensure that only users with the 'Data Reader' role can access files in a specific container, while other users cannot list or read files. The storage account has hierarchical namespace enabled. What is the most secure and manageable approach?

Question 10easymultiple choice
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You need to configure encryption for an Azure SQL Database to protect data at rest. Which Azure service or feature should you enable?

Question 11hardmultiple choice
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A company is using Azure Data Factory to copy data from an on-premises SQL Server to Azure Blob Storage. The data must be encrypted in transit using TLS 1.2. The on-premises SQL Server is configured to support TLS 1.2. Which Data Factory property should be configured?

Question 12mediummultiple choice
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You are designing a data solution in Azure that requires all data in transit between Azure Databricks and Azure Storage to be encrypted using a customer-managed key. Which configuration meets this requirement?

Question 13mediummulti select
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Which TWO actions should you take to ensure that only authorized users can access sensitive data in an Azure Synapse Analytics dedicated SQL pool?

Question 14hardmulti select
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Which THREE components are part of a defense-in-depth strategy for data security in Azure?

Question 15mediummultiple choice
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Refer to the exhibit. A custom RBAC role is defined as shown. A user is assigned this role at the resource group scope. Which operation can the user perform?

Exhibit

Refer to the exhibit.

{
  "RoleName": "CustomStorageReader",
  "Actions": [
    "Microsoft.Storage/storageAccounts/blobServices/containers/read"
  ],
  "NotActions": [],
  "AssignableScopes": [
    "/subscriptions/12345678-1234-1234-1234-123456789abc/resourceGroups/DataRG"
  ]
}
Question 16hardmulti select
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A company uses Azure Synapse Analytics with a dedicated SQL pool. Data engineers need to implement column-level security so that only users with the 'Manager' role can see salary columns. Which TWO actions should they take?

Question 17easymultiple choice
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A manufacturing company uses Azure Data Lake Storage Gen2 with hierarchical namespace enabled and Azure Databricks for analytics. The security team requires that all data stored in the 'raw' container be encrypted at rest using customer-managed keys. The data is ingested via Azure Data Factory. What should the data engineer configure to meet the requirement?

Question 18mediummultiple choice
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A company uses Azure Synapse Analytics with a dedicated SQL pool. They need to ensure that a team of data scientists can query all tables in the 'sales' schema but cannot modify any data or schema objects. Which role should the team be assigned?

Question 19hardmulti select
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You are designing data security for an Azure Data Lake Storage Gen2 account that stores sensitive customer data. You need to ensure that only authorized users can access the data and that access can be audited. Which TWO actions should you implement?

Question 20mediumdrag order
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Drag and drop the steps to configure Azure Stream Analytics job with event input and Power BI output into the correct order.

Drag steps to the numbered slots on the right, or tap a step then tap a slot.

Steps
Order
1Step 1
2Step 2
3Step 3
4Step 4
5Step 5
Question 21mediumdrag order
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Drag and drop the steps to set up Azure Purview for data cataloging and lineage tracking into the correct order.

Drag steps to the numbered slots on the right, or tap a step then tap a slot.

Steps
Order
1Step 1
2Step 2
3Step 3
4Step 4
5Step 5
Question 22mediummatching
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Match each Azure Synapse Analytics component to its function.

Drag a concept onto its matching description — or click a concept then click the description.

Concepts
Matches

Distributed query engine for relational data

Apache Spark runtime for big data processing

Data integration and orchestration

Web-based IDE for developing analytics solutions

Question 23mediummatching
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Match each performance optimization technique to its description.

Drag a concept onto its matching description — or click a concept then click the description.

Concepts
Matches

Dividing data into smaller manageable segments

Creating structures to speed up data retrieval

Pre-computed and stored query results

Column-based storage for analytics queries

Practice tests

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