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NEW QUESTION: 1
You use the F4 key to...
Choose the correct answer(s).
Response:
A. Obtain technical details for a program
B. Show possible input values for an entry field
C. Start another session
D. Generate an output request for the current screen
E. Call the SAP Library
Answer: B

NEW QUESTION: 2

A. Option B
B. Option C
C. Option D
D. Option A
Answer: A
Explanation:
Explanation
Scenario: Create a workflow to send an email message when the settings of VM4 are modified.
You can start an automated logic app workflow when specific events happen in Azure resources or third-party resources. These resources can publish those events to an Azure event grid. In turn, the event grid pushes those events to subscribers that have queues, webhooks, or event hubs as endpoints. As a subscriber, your logic app can wait for those events from the event grid before running automated workflows to perform tasks - without you writing any code.
References:
https://docs.microsoft.com/en-us/azure/event-grid/monitor-virtual-machine-changes-event-grid-logic-app

NEW QUESTION: 3
InvoiceとInvoiceDetailsという名前のテーブルでデータベースを管理します。 各請求書には複数のレコードがあります。
ユーザーは.NET Webアプリケーションを使用してInvoiceDetailsテーブルを更新します。 アプリケーションは両方のテーブルからレコードを取得し、インライン更新ステートメントを実行してテーブルを更新します。
アプリケーション内のレコードを更新すると、ユーザーのパフォーマンスが低下します。 ソリューションは以下の要件を満たす必要があります。
* ストアドプロシージャを使用する必要があります。
* インライン更新ステートメントを使用してはいけません
* テーブル値パラメータを使用する必要があります。
* すべてのレコードを更新するためにストアドプロシージャを呼び出す必要があります。
あなたはパフォーマンスを最適化する必要があります。
どの3つのアクションを順番に実行しますか？ 答えるには、適切なアクションをアクションのリストから回答領域に移動して、正しい順序で並べます。

Answer:
Explanation:

Explanation

Box 1: Create a user-defined table type...
Table-valued parameters are declared by using user-defined table types. You can use table-valued parameters to send multiple rows of data to a Transact-SQL statement or a routine, such as a stored procedure or function, without creating a temporary table or many parameters.
Box 2: ..read-only input parameter.
Table-valued parameters must be passed as input READONLY parameters to Transact-SQL routines.
Box 3:
Example
The following example uses Transact-SQL and shows you how to create a table-valued parameter type, declare a variable to reference it, fill the parameter list, and then pass the values to a stored procedure.
USE AdventureWorks2012;
/* Create a table type. */
CREATE TYPE LocationTableType AS TABLE
( LocationName VARCHAR(50)
, CostRate INT );
GO
/* Create a procedure to receive data for the table-valued parameter. */ CREATE PROCEDURE dbo. usp_InsertProductionLocation
@TVP LocationTableType READONLY
Etc.
/* Declare a variable that references the type. */
DECLARE @LocationTVP AS LocationTableType;
/* Add data to the table variable. */
INSERT INTO @LocationTVP (LocationName, CostRate)
SELECT Name, 0.00
FROM AdventureWorks2012.Person.StateProvince;
/* Pass the table variable data to a stored procedure. */
EXEC usp_InsertProductionLocation @LocationTVP;
GO
References:
https://docs.microsoft.com/en-us/sql/relational-databases/tables/use-table-valued-parameters-database-engine?vie

NEW QUESTION: 4
You are hired as the new head of operations for a SaaS company. Your CTO has asked you to make debugging
any part of your entire operation simpler and as fast as possible. She complains that she has no idea what is
going on in the complex, service-oriented architecture, because the developers just log to disk, and it's very
hard to find errors in logs on so many services. How can you best meet this requirement and satisfy your
CTO?
A. Copy all log files into AWS S3 using a cron job on each instance. Use an S3 Notification Configuration
on the PutBucket event and publish events to AWS Lambda. Use the Lambda to analyze logs as soon as
they come in and flag issues.
B. Begin using CloudWatch Logs on every service. Stream all Log Groups into an AWS Elastic search
Service Domain running Kibana 4 and perform log analysis on a search cluster.
C. Copy all log files into AWS S3 using a cron job on each instance. Use an S3 Notification Configuration
on the PutBucket event and publish events to AWS Kinesis. Use Apache Spark on AWS EMR to
perform at-scale stream processing queries on the log chunks and flag issues.
D. Begin using CloudWatch Logs on every service. Stream all Log Groups into S3 objects. Use AWS EMR
clusterjobs to perform adhoc MapReduce analysis and write new queries when needed.
Answer: B
Explanation:
Explanation
Amazon Dasticsearch Service makes it easy to deploy, operate, and scale dasticsearch for log analytics, full
text search, application monitoring, and more. Amazon
Oasticsearch Service is a fully managed service that delivers Dasticsearch's easy-to-use APIs and real-time
capabilities along with the availability, scalability, and
security required by production workloads. The service offers built-in integrations with Kibana, Logstash, and
AWS services including Amazon Kinesis Firehose, AWS
Lambda, and Amazon Cloud Watch so that you can go from raw data to actionable insights quickly.
For more information on Elastic Search, please refer to the below link:
* https://aws.amazon.com/elasticsearch-service/

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