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  3. DP-300 Exam
  4. Microsoft.DP-300.v2022-04-23.q155 Dumps
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Question 61

HOTSPOT
You have an Azure SQL database named DB1 that contains two tables named Table1 and Table2. Both tables contain a column named a Column1. Column1 is used for joins by an application named App1.
You need to protect the contents of Column1 at rest, in transit, and in use.
How should you protect the contents of Column1? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:

Correct Answer:

Section: [none]
Explanation:
Box 1: Column encryption Key
Always Encrypted uses two types of keys: column encryption keys and column master keys. A column encryption key is used to encrypt data in an encrypted column. A column master key is a key-protecting key that encrypts one or more column encryption keys.
Incorrect Answers:
TDE encrypts the storage of an entire database by using a symmetric key called the Database Encryption Key (DEK).
Box 2: Deterministic
Always Encrypted is a feature designed to protect sensitive data, such as credit card numbers or national identification numbers (for example, U.S. social security numbers), stored in Azure SQL Database or SQL Server databases. Always Encrypted allows clients to encrypt sensitive data inside client applications and never reveal the encryption keys to the Database Engine (SQL Database or SQL Server).
Always Encrypted supports two types of encryption: randomized encryption and deterministic encryption.
Deterministic encryption always generates the same encrypted value for any given plain text value. Using deterministic encryption allows point lookups, equality joins, grouping and indexing on encrypted columns.
Incorrect Answers:
* Randomized encryption uses a method that encrypts data in a less predictable manner. Randomized encryption is more secure, but prevents searching, grouping, indexing, and joining on encrypted columns.
* Transparent data encryption (TDE) helps protect Azure SQL Database, Azure SQL Managed Instance, and Azure Synapse Analytics against the threat of malicious offline activity by encrypting data at rest. It performs real-time encryption and decryption of the database, associated backups, and transaction log files at rest without requiring changes to the application.
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/security/encryption/always-encrypted-database- engine
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Question 62

You have an Azure Data Factory pipeline that performs an incremental load of source data to an Azure Data Lake Storage Gen2 account.
Data to be loaded is identified by a column named LastUpdatedDate in the source table.
You plan to execute the pipeline every four hours.
You need to ensure that the pipeline execution meets the following requirements:
Automatically retries the execution when the pipeline run fails due to concurrency or throttling limits.
Supports backfilling existing data in the table.
Which type of trigger should you use?

Correct Answer: A
The Tumbling window trigger supports backfill scenarios. Pipeline runs can be scheduled for windows in the past.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipeline-execution-triggers
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Question 63

You plan to build a structured streaming solution in Azure Databricks. The solution will count new events in fiveminute intervals and report only events that arrive during the interval.
The output will be sent to a Delta Lake table.
Which output mode should you use?

Correct Answer: A
Complete mode: You can use Structured Streaming to replace the entire table with every batch.
Incorrect Answers:
B: By default, streams run in append mode, which adds new records to the table.
Reference:
https://docs.databricks.com/delta/delta-streaming.html
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Question 64

You have an Azure SQL database that contains a table named factSales. FactSales contains the columns shown in the following table.

FactSales has 6 billion rows and is loaded nightly by using a batch process.
Which type of compression provides the greatest space reduction for the database?

Correct Answer: D
Columnstore tables and indexes are always stored with columnstore compression. You can further reduce the size of columnstore data by configuring an additional compression called archival compression.
Note: Columnstore - The columnstore index is also logically organized as a table with rows and columns, but the data is physically stored in a column-wise data format.
Incorrect Answers:
B: Rowstore - The rowstore index is the traditional style that has been around since the initial release of SQL Server.
For rowstore tables and indexes, use the data compression feature to help reduce the size of the database.
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/data-compression/data-compression
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Question 65

DRAG DROP
You need to configure user authentication for the SERVER1 databases. The solution must meet the security
and compliance requirements.
Which three 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.
Select and Place:

Correct Answer:

Section: [none]
Explanation:
Scenario: Authenticate database users by using Active Directory credentials.
The configuration steps include the following procedures to configure and use Azure Active Directory
authentication.
1. Create and populate Azure AD.
2. Optional: Associate or change the active directory that is currently associated with your Azure Subscription.
3. Create an Azure Active Directory administrator. (Step 1)
4. Configure your client computers.
5. Create contained database users in your database mapped to Azure AD identities. (Step 2)
6. Connect to your database by using Azure AD identities. (Step 3)
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/authentication-aad-overview
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