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NEW QUESTION: 1
Update the deployment with the image version 1.17.4 and verify
A. kubectl set image deploy/webapp nginx=nginx:1.17.4
//Verify
kubectl describe deploy webapp | grep Image
kubectl get deploy -
{.metadata.name}{"\t"}{.spec.template.spec.containers[*].i
mage}{"\n"}'
B. kubectl set image deploy/webapp nginx=nginx:1.17.4
//Verify
kubectl describe deploy webapp | grep Image
kubectl get deploy -o=jsonpath='{range.items [*]}{.[*]}
{.metadata.name}{"\t"}{.spec.template.spec.containers[*].i
mage}{"\n"}'
Answer: B

NEW QUESTION: 2
クライアントは定期的に多くの顧客の払い戻しを処理しており、分析のために最近の払い戻し（ステータスを含む）に関する情報を入手したいと考えています。
この要件を効率的に満たすために何をすべきですか？
A. 事前定義されたトランザクション詳細レポートを実行します。
B. Oracle Transactional Business Intelligence（OTBI）分析を作成します。
C. Payablesの「支払いの管理」ページで検索し、結果をExcelにエクスポートします。
D. 売掛金の「クレジット・メモ・アプリケーションの管理」ページで検索し、結果をExcelにエクスポートします。
Answer: B

NEW QUESTION: 3
What should you include in the Data Factory pipeline for Race Central?
A. a filter activity that has a condition
B. a copy activity that contains schema mappings
C. a delete activity that has logging enabled
D. a copy activity that uses a stored procedure as a source
Answer: B
Explanation:
Scenario:
An Azure Data Factory pipeline must be used to move data from Cosmos DB to SQL Database for Race Central. If the data load takes longer than 20 minutes, configuration changes must be made to Data Factory.
The telemetry data is sent to a MongoDB database. A custom application then moves the data to databases in SQL Server 2017. The telemetry data in MongoDB has more than 500 attributes. The application changes the attribute names when the data is moved to SQL Server 2017.
You can copy data to or from Azure Cosmos DB (SQL API) by using Azure Data Factory pipeline.
Column mapping applies when copying data from source to sink. By default, copy activity map source data to sink by column names. You can specify explicit mapping to customize the column mapping based on your need. More specifically, copy activity:
Read the data from source and determine the source schema
Use default column mapping to map columns by name, or apply explicit column mapping if specified.
Write the data to sink
Write the data to sink
References:
https://docs.microsoft.com/en-us/azure/data-factory/copy-activity-schema-and-type-mapping

NEW QUESTION: 4
地域マネージャーのレポート要件を満たすには、Weekly_ReturnsテーブルとDateテーブルの間に関係を作成する必要があります。あなたは何をするべきか？
A. date-idが一意であるDateテーブルに基づいて新しいテーブルを作成してから、Weekly_Returnとの多対多の関係を作成します。
B. 関連するDAX関数を使用して、Weekly_ReturnsデータをSalesテーブルに追加します。
C. Weekly.Returnsテーブルで、date-idという名前の新しい計算列をyyyymmddの形式で作成し、計算列を使用してDateテーブルとの関係を作成します。
Answer: C
Explanation:
Explanation
Scenario: Region managers require a visual to analyze weekly sales and returns.
To relate the two tables we need a common column.
Topic 1, Litware, Inc. Case Study
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Overview
Litware, Inc. is an online retailer that uses Microsoft Power Bl dashboards and reports.
The company plans to leverage data from Microsoft SQL Server databases, Microsoft Excel files, text files, and several other data sources.
Litware uses Azure Active Directory (Azure AD) to authenticate users.
- Existing Environment
Sales Data
Litware has online sales data that has the SQL schema shown in the following table.

In the Date table, the dateid column has a format of yyyymmdd and the month column has a format of yyyymm. The week column in the Date table and the weekid column in the Weekly_Returns table have a format of yyyyww. The regionid column can be managed by only one sales manager.
Data Concerns
You are concerned with the quality and completeness of the sales data. You plan to verify the sales data for negative sales amounts.
Reporting Requirements
Litware identifies the following technical requirements:
* Executives require a visual that shows sales by region.
* Regional managers require a visual to analyze weekly sales and returns.
* Sales managers must be able to see the sales data of their respective region only.
* The sales managers require a visual to analyze sales performance versus sales targets.
* The sale department requires reports that contain the number of sales transactions.
* Users must be able to see the month in reports as shown in the following example: Feb 2020.
* The customer service department requires a visual that can be filtered by both sales month and ship month independently.