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NEW QUESTION: 1
Azureサブスクリプションの可用性に影響を与える可能性がある計画されたメンテナンスイベントの一覧を表示する必要があります。
Azureポータルからどのブレードを使用する必要がありますか？解答するには、解答エリアで適切なブレードを選択してください。

Answer:
Explanation:

Explanation

Section: Understand Core Azure Services

NEW QUESTION: 2
A DevOps Engineer is building a continuous deployment pipeline for a serverless application using AWS CodePipeline and AWS CodeBuild. The source, build, and test stages have been created with the deploy stage remaining. The company wants to reduce the risk of an unsuccessful deployment by deploying to a specified subset of customers and monitoring prior to a full release to all customers. How should the deploy stage be configured to meet these requirements?
A. Use AWS CloudFormation to define the serverless application and AWS CodeDeploy to deploy the AWS Lambda functions using DeploymentPreference: . Canary10Percent15Minutes
B. Use CodeBuild to use the AWS CLI to update the AWS Lambda function code, then publish a new version of the function and update the production alias to point to the new version of the function.
C. Use AWS CloudFormation to publish a new version on every stack update. Use the RoutingConfig property of the AWS::Lambda::Alias resource to update the traffic routing during the stack update.
D. Use AWS CloudFormation to publish a new version on every stack update. Then set up a CodePipeline approval action for a Developer to test and approve the new version. Finally, use a CodePipeline invoke action to update an AWS Lambda function to use the production alias
Answer: A
Explanation:
https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/automating-updates-to-serverless-apps.html

NEW QUESTION: 3
You are developing a SQL Server 2008 Analysis Services (SSAS) method for Company.com.
There is a table called Product which includes listed columns below:
*ProductKey
*Logger
*ProductNumber
Firstly you develop a dimension called DimProductOrders from the Product table, and then configure the ProductKey as a key column and the Logger column as a property.
At last you create a measure group called FactProductOrders from the Product table.
You should make sure that you could develop a dimension relationship .
Then you could make ProductNumber column gathered by the Logger column.
Which is the correct answer?
A. Between the DimProductOrders dimension and the ProductNumber measure group, you should develop a virtual dimension relationship.
B. Between the DimProductOrders dimension and the ProductKey measure group, you should develop a fact dimension relationship.
C. Between the DimProductOrders dimension and the ProductNumber measure group, you should develop a fact dimension relationship.
D. Before configuring the Granularity attribute to ProductKey and the measure group columns to ProductNumber, you should you should develop a fact dimension relationship.
Answer: C
Explanation:
Dimension Usage Relationship Types Relationship type purpose Regular Defines the relationship when a dimension is joined directly to a measure group through a specific attribute called the "granularity" attribute. Fact Used when the dimension is based on the fact table used to define the measure group. Referenced Used when a given dimension is related to a measure group through an intermediate dimension. Many-To-Many Specifies that a dimension is related to a given measure group through an intermediate measure group. Data Mining Defines the relationship between a dimension based on a data mining model and a given measure group.
EXAM TIP Sometimes after analyzing the database schema and designing fact and dimension tables, you will be left with columns in the fact table that do not justify moving them to designated dimension tables, such as Sales order number. yet reporting requirements might require you to let end users browse data by these columns--for example, to see all sales order line items for a given sales order. you can meet such requirements by building dimensions directly from the fact table and then joining them to the related measure groups through a fact relationship.