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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitor database operations | 10-15% | - Monitor and log database activity
|
| Topic 2: Plan and implement data platform resources | 20-25% | - Plan and implement data platform resources based on requirements
|
| Topic 3: Optimize database solutions | 10-15% | - Optimize query performance
|
| Topic 4: Implement a SQL Server database | 15-20% | - Manage SQL Server databases
|
| Topic 5: Implement a PaaS database solution | 15-20% | - Implement and configure Azure SQL Database
|
| Topic 6: Implement secure resources | 20-25% | - Implement Azure role-based access control and firewall rules
|
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NEW QUESTION # 229
You have an Azure SQL database named DB1. DB1 contains a table that has a column named Col1.
You need to encrypt the data in Col1.
Which four actions should you perform for DB1 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 database master key.
2 - Create a certificate.
3 - Create a symmetric key.
4 - Open the symmetric key.
Reference:
https://www.sqlshack.com/an-overview-of-the-column-level-sql-server-encryption/
NEW QUESTION # 230
You are designing an enterprise data warehouse in Azure Synapse Analytics that will contain a table named Customers. Customers will contain credit card information.
You need to recommend a solution to provide salespeople with the ability to view all the entries in Customers.
The solution must prevent all the salespeople from viewing or inferring the credit card information.
What should you include in the recommendation?
Answer: A
Explanation:
Azure SQL Database, Azure SQL Managed Instance, and Azure Synapse Analytics support dynamic data masking. Dynamic data masking limits sensitive data exposure by masking it to non-privileged users.
The Credit card masking method exposes the last four digits of the designated fields and adds a constant string as a prefix in the form of a credit card.
Example:
XXXX-XXXX-XXXX-1234
Basic Concept: This question tests secure database administration, where the control must match the data state, access boundary, identity model, or compliance requirement.
Why B is Correct: data masking matches the expected DP-300 administration action. data masking is a security-related control, but its value depends on whether the requirement is identity, encryption, auditing, network isolation, or data exposure reduction. The question is not asking for a general Azure capability; it is asking for the feature that produces this result: You need to recommend a solution to provide salespeople with the ability to view all the entries in Customers.
Why A is Wrong: Row-Level Security filters rows returned by queries based on a predicate function, allowing different users or tenants to see different subsets of the same tables. It is not the right enforcement point for this case; the scenario needs the control that governs the data or identity path being tested.
Why C is Wrong: Always Encrypted protects sensitive columns from exposure to the database engine by encrypting and decrypting data at the client side with keys protected outside the database. It protects or manages a different security layer, so the required database access or protection behavior would still be incomplete.
Why D is Wrong: column-level security is a security-related control, but its value depends on whether the requirement is identity, encryption, auditing, network isolation, or data exposure reduction. It is not the right enforcement point for this case; the scenario needs the control that governs the data or identity path being tested.
NEW QUESTION # 231
Based on the PaaS prototype, which Azure SQL Database compute tier should you use?
Answer: C
Explanation:
There are CPU and Data I/O spikes for the PaaS prototype. Business Critical 4-vCore is needed.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/reserved-capacity-overview
Topic 3, ADatum Corporation
Existing Environment
ADatum has one database server that has Microsoft SQL Server 2016 installed. The server hosts three mission-critical databases named SALESDB, DOCDB, and REPORTINGDB.
SALESDB collects data from the stores and the website.
DOCDB stores documents that connect to the sales data in SALESDB. The documents are stored in two different JSON formats based on the sales channel.
REPORTINGDB stores reporting data and contains several columnstore indexes. A daily process creates reporting data in REPORTINGDB from the data in SALESDB. The process is implemented as a SQL Server Integration Services (SSIS) package that runs a stored procedure from SALESDB.
Requirements
Planned Changes
ADatum plans to move the current data infrastructure to Azure. The new infrastructure has the following requirements:
Migrate SALESDB and REPORTINGDB to an Azure SQL database.
Migrate DOCDB to Azure Cosmos DB.
The sales data, including the documents in JSON format, must be gathered as it arrives and analyzed online by using Azure Stream Analytics. The analytics process will perform aggregations that must be done continuously, without gaps, and without overlapping.
As they arrive, all the sales documents in JSON format must be transformed into one consistent format.
Azure Data Factory will replace the SSIS process of copying the data from SALESDB to REPORTINGDB.
Technical Requirements
The new Azure data infrastructure must meet the following technical requirements:
Data in SALESDB must encrypted by using Transparent Data Encryption (TDE). The encryption must use your own key.
SALESDB must be restorable to any given minute within the past three weeks.
Real-time processing must be monitored to ensure that workloads are sized properly based on actual usage patterns.
Missing indexes must be created automatically for REPORTINGDB.
Disk IO, CPU, and memory usage must be monitored for SALESDB.
NEW QUESTION # 232
You have an Azure subscription that contains an Azure Data Factory version 2 (V2) data factory named df1.
DF1 contains a linked service.
You have an Azure Key vault named vault1 that contains an encryption kay named key1.
You need to encrypt df1 by using key1.
What should you do first?
Answer: C
Explanation:
A customer-managed key can only be configured on an empty data Factory. The data factory can't contain any resources such as linked services, pipelines and data flows. It is recommended to enable customer-managed key right after factory creation.
Note: Azure Data Factory encrypts data at rest, including entity definitions and any data cached while runs are in progress. By default, data is encrypted with a randomly generated Microsoft-managed key that is uniquely assigned to your data factory.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/enable-customer-managed-key
NEW QUESTION # 233
You have an Azure subscription that contains a storage account named databasebackups.
You have an Azure SQL managed instance named DB1.
You need to back up DB1 to databasebackups.
How should you complete the commands? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
NEW QUESTION # 234
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