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NEW QUESTION: 1
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is the same in each question in this series.
Start of repeated scenario
You have six workbook queries that each extracts a table from a Microsoft Azure SQL database. The tables are loaded to the data model but the data is not loaded to any worksheets. The data model is shown in the Data Model exhibit.
Your company has 100 product subcategories and more than 10,000 products End of repeated scenario.
You plan to use the DAX time intelligence functions of DATEADD and DATESMTD.
You need to ensure that the functions return the correct data.
What should you do first?
A. Change trie Data Type of DimDate[DateKey].
B. Change the Data Type of FactSales[DateKey].
C. Mark DimDate as the date table.
D. Delete and recreate the relationship between FactSales and DimDate.
Answer: C
Explanation:
Explanation
https://docs.microsoft.com/en-us/sql/analysis-services/lesson-3-mark-as-date-table?view=sql-analysis-services-2
NEW QUESTION: 2
Drag and drop the functions from the left onto the correct Path Computation Element Protocol roles on the right
Answer:
Explanation:
Explanation
Path Computation Element (Calculates paths through the network, keeps TE topology database information, sends path status updates) Path computation Client (sends path calculation request, sends path creation request) Path Computation Element (PCE) Represents a software module (which can be a component or application) that enables the router to compute paths applying a set of constraints between any pair of nodes within the router's TE topology database. PCEs are discovered through IGP.
Path Computation Client (PCC)
Represents a software module running on a router that is capable of sending and receiving path computation requests and responses to and from PCEs. The PCC is typically an LSR (Label Switching Router).
https://www.cisco.com/c/en/us/td/docs/routers/crs/software/crs_r5-3/mpls/configuration/guide/b-mpls-cg53x-crs
NEW QUESTION: 3
会社には複数のAWSアカウントがあります。アカウントは、主にAmazon EC2インスタンス用に、世界中の複数のチームで共有および使用されます。各EC2インスタンスには、チーム、環境、およびコストセンターのタグがあり、正確なコスト配分を保証します。
DevOpsエンジニアは、チームがコストを監査し、複数の共有環境とアカウントにわたるインフラストラクチャコストの最適化を自動化するのにどのように役立つべきですか？
A. AWS Systems Managerを使用してインスタンスの使用率を追跡し、使用率の低いインスタンスをAmazon CloudWatchに報告します。チーム、環境、コストセンターのタグに基づいてCloudWatchでデータをフィルターします。 CloudWatchからAWS Lambdaにトリガーを設定して、使用率の低いインスタンスを減らします
B. コストセンター、環境、およびチームに基づいてEC2インスタンスタグ用に個別のAmazon CloudWatchダッシュボードを作成し、各チームの一意のリンクを使用してインスタンスタグを発行します。各チームについて、ソースとしてCloudWatchダッシュボードを使用してCloudWatchイベントルールを設定し、AWS Lambda関数を開始して使用率の低いインスタンスを減らすトリガーを設定します。
C. 低使用率EC2インスタンスのソースとしてAWS Trusted Advisorを使用してAmazon CloudWatch Eventsルールを作成します。各チーム、環境、およびコストセンターのタグに基づいてレポートされたデータをフィルターで除外するAWS Lambda関数をトリガーし、Lambda関数をAmazon S3に保存します。使用率の低いインスタンスを減らすためにLambda関数を開始する2番目のトリガーを設定します。
D. EC2インスタンスでスケジュールされたスクリプトを設定して、使用率を報告し、インスタンスをAmazon DynamoDBテーブルに保存します。ソースデータとしてDynamoDBを使用してAmazon QuickSightでダッシュボードを作成し、十分に活用されていないインスタンスを見つけます。 AWS LambdaでAmazon QuickSightからトリガーを設定して、使用率の低いインスタンスを減らします。
Answer: D