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DP-300시험패스가능덤프문제 & DP-300시험대비최신덤프공부자료

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Microsoft의 DP-300 자격증 시험은 후보자가 Microsoft Azure에서 관계형 데이터베이스를 관리할 수 있는 능력을 검증하기 위해 설계되었습니다. 이 자격증은 클라우드에서 데이터베이스를 배포, 관리, 보안 및 모니터링하는 기술을 검증하고자 하는 데이터베이스 관리자를 대상으로 합니다. DP-300 시험은 데이터베이스 관리 분야에서 가장 수요가 높은 자격증 중 하나이며 전 세계적으로 많은 주요 산업에서 인정받고 있습니다.

>> DP-300시험패스 가능 덤프문제 <<

최신버전 DP-300시험패스 가능 덤프문제 시험덤프공부

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시험은 Azure SQL 데이터베이스 배포, 데이터 액세스 및 보안 구성, 데이터베이스 모니터링 및 최적화, 고 가용성 및 재해 복구 솔루션 구현 등 다양한 주제로 구성되어 있습니다. 이 시험은 백업 및 복원 작업, 성능 튜닝, 문제 해결과 같은 중요한 데이터베이스 관리 작업을 수행하는 능력을 시험하기 위해 설계되었습니다. Microsoft DP-300 시험 합격은 마이크로소프트 애저에서 관계형 데이터베이스를 관리하고 배포하는 기술을 증명하는 데 탁월한 방법입니다. 이는 현재 취업 시장에서 높은 수요를 받는 기술입니다.

최신 Microsoft Azure DP-300 무료샘플문제 (Q155-Q160):

질문 # 155
You have SQL Server on an Azure virtual machine that contains a database named DB1.
You view a plan summary that shows the duration in milliseconds of each execution of query 1178902 as shown in the following exhibit:

What should you do to ensure that the query uses the execution plan which executes in the least amount of time?

A. Disable parameter sniffing.
B. Run the DBCC FREEPROCCACHE command.
C. Force the query execution plan for plan 1220917.
D. Force the query execution plan for plan 1221065.

정답：C

설명：
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/performance/query-store-usage-scenarios

질문 # 156
You have 40 Azure SQL databases, each for a different customer. All the databases reside on the same Azure SQL Database server.
You need to ensure that each customer can only connect to and access their respective database.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Configure the server firewall.
B. Create users in each database.
C. Implement row-level security (RLS).
D. Implement Always Encrypted.
E. Configure the database firewall.
F. Create logins in the master database.

정답：B,E

설명：
Section: [none]
Explanation:
Manage database access by adding users to the database, or allowing user access with secure connection strings.
Database-level firewall rules only apply to individual databases.
Incorrect Answers:
B: Server-level IP firewall rules apply to all databases within the same server.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/secure-database-tutorial

질문 # 157
From a website analytics system, you receive data extracts about user interactions such as downloads, link clicks, form submissions, and video plays.
The data contains the following columns:

You need to design a star schema to support analytical queries of the data. The star schema will contain four tables including a date dimension.
To which table should you add each column? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

정답：

설명：

Explanation
Graphical user interface, application, table Description automatically generated

Box 1: FactEvents
Fact tables store observations or events, and can be sales orders, stock balances, exchange rates, temperatures, etc.
Box 2: DimChannel
Dimension tables describe business entities - the things you model. Entities can include products, people, places, and concepts including time itself. The most consistent table you'll find in a star schema is a date dimension table. A dimension table contains a key column (or columns) that acts as a unique identifier, and descriptive columns.
Box 3: DimEvent
Reference:
https://docs.microsoft.com/en-us/power-bi/guidance/star-schema

질문 # 158
SIMULATION
You need to ensure that when non-administrative users query the SalesLT.Customer table in db1, email addresses are obscured. For example, an email address of alice@contoso.com must appear as aXXX@XXXX.com.
You may need to use SQL Server Management Studio and the Azure portal.

정답：

설명：
SQL Database dynamic data masking with the Azure portal
In the Dynamic Data Masking pane in the portal, you see the recommended columns for your database. Select Add Mask for one or more columns, then select the appropriate masking function and select Save, to apply mask for these fields.
In details:
Enable dynamic data masking
Step 1: Launch the Azure portal at https://portal.azure.com.
Step 2: Go to your database resource in the Azure portal. [Select db1]
Step 3: Select the Dynamic Data Masking pane under the Security section.

Step 4: In the Dynamic Data Masking configuration page, you may see some database columns that the recommendations engine has flagged for masking. In order to accept the recommendations, just click Add Mask for one or more columns and a mask is created based on the default type for this column. You can change the masking function by clicking on the masking rule and editing the masking field format to a different format of your choice. Be sure to click Save to save your settings.
4.1 If possible locate the column with email addresses in the SalesLT.Customer table [If not seen skip to step 5]
4.2 Click Add Mask
Step 5: To add a mask for any column in your database, at the top of the Dynamic Data Masking configuration page, click Add Mask to open the Add Masking Rule configuration page.
[Skip steps 5-6 step if step 4 was successful]

Step 6: Select the Schema, Table and Column to define the designated field for masking.
Select the following
Table: SalesLT.Customer table
Column: [Choose the column with the email addresses]
Step 7: Select how to mask from the list of sensitive data masking categories.
Select Email (aXXX@XXXX.com)

Step 8: Click Add in the data masking rule page to update the set of masking rules in the dynamic data masking policy.
Step 9: Type the SQL authenticated users or authenticated identities from Microsoft Entra ID (formerly Azure Active Directory) that should be excluded from masking, and have access to the unmasked sensitive data. [Skip] Step 10: Click Save in the data masking configuration page to save the new or updated masking policy.
Reference:
https://learn.microsoft.com/en-us/azure/azure-sql/database/dynamic-data-masking-configure- portal

질문 # 159
Which windowing function should you use to perform the streaming aggregation of the sales data?

A. Tumbling
B. Session
C. Sliding
D. Hopping

정답：A

설명：
Scenario: 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.
Tumbling window functions are used to segment a data stream into distinct time segments and perform a function against them, such as the example below. The key differentiators of a Tumbling window are that they repeat, do not overlap, and an event cannot belong to more than one tumbling window.

Reference:
https://github.com/MicrosoftDocs/azure-docs/blob/master/articles/stream-analytics/stream-analytics-window- functions.md

질문 # 160
......

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