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NEW QUESTION: 1
Sie müssen das Kapazitätsproblem beheben.
Was tun?
A. Verschieben Sie die Azure-Funktion in einen dedizierten App-Serviceplan.
B. Konvertieren Sie den Trigger für die Azure-Funktion in einen Datei-Trigger.
C. Stellen Sie sicher, dass der Verbrauchsplan für die Skalierung korrekt auf alloSw konfiguriert ist.
D. Aktualisieren Sie die Schleife ab Zeile PC09, um Elemente parallel zu verarbeiten.
Answer: D
Explanation:
If you want to read the files in parallel, you cannot use forEach. Each of the async callback function calls does return a promise. You can await the array of promises that you'll get with Promise.all, Scenario: Capacity issue: During busy periods, employees report long delays between the time they upload the receipt and when it appears in the web application.

References:
https://stackoverflow.com/questions/37576685/using-async-await-with-a-foreach-loop

NEW QUESTION: 2
展示品をご覧ください。


CTOの「RightCloudFirst」マルチクラウド戦略をサポートするために、管理者は4つのクラウドアカウント（vSphere、Amazon Web Services、Google Cloud Platform、Microsoft Azure）を構成します。各クラウドアカウントには、同じ優先度でApp-Devプロジェクトに追加される単一のクラウドゾーンがあります。管理者は、App-Devメンバーがリクエスト中にサイズ、イメージ、クラウドを選択してService Brokerにリリースできるようにする、シンプルな単一マシンのクラウドにとらわれないブループリントを作成します。新しいアプリ。
管理者には、次の問題に対処するためのチケットが割り当てられます。デプロイされたクラウドマシンは常に正しいサイズと正しいオペレーティングシステムです。ただし、展開は選択したクラウドに展開されることはありません。
管理者は、トラブルシューティングの目的で、添付の展示に示されているように、ブループリントとApp-Devプロジェクトを確認します。
ブループリントが期待どおりに機能するために、管理者が行う必要のある2つの変更はどれですか。 （2つ選択してください。）
A. Cloud.Machineリソースに制約タグを追加し、値として「$ {input.flavor}」を使用します。
B. Cloud.Machineリソースに制約タグを追加し、値として「$（input.cloud）」を使用します。
C. Cloud.Machineリソースに制約タグを追加し、値として「$ {input.cloud}」を使用します。
D. 各クラウドゾーンに機能タグを追加し、cloud：<cloud>のキーと値のペアを使用します。
E. 各クラウドゾーンに機能タグを追加し、env：<cloud>のキーと値のペアを使用します。
Answer: A,E

NEW QUESTION: 3
Hinweis: Diese Frage ist Teil einer Reihe von Fragen, die dasselbe Szenario verwenden. Zur Vereinfachung wird das Szenario in jeder Frage wiederholt. Jede Frage stellt ein anderes Ziel und eine andere Antwortauswahl dar, aber der Text des Szenarios ist in jeder Frage dieser Reihe genau gleich.
Beginn des wiederholten Szenarios.
Ihr Netzwerk enthält eine Active Directory-Domäne mit dem Namen contoso.com. Die Domäne enthält eine einzelne Site mit dem Namen Site1. Alle Computer befinden sich in Site1.
Die Gruppenrichtlinienobjekte (Group Policy Objects, GPOs) für die Domäne werden wie in der Abbildung gezeigt konfiguriert. (Klicken Sie auf die Schaltfläche "Ausstellen".)

Die relevanten Benutzer und Clientcomputer in der Domäne werden wie in der folgenden Tabelle gezeigt konfiguriert.

Ende des wiederholten Szenarios.
Sie bewerten, was passieren wird, wenn Sie die Gruppe "Authentifizierte Benutzer" aus den Sicherheitsfiltereinstellungen von A5 entfernen.
Welche Gruppenrichtlinienobjekte gelten für Benutzer1, wenn sich der Benutzer bei Computer1 anmeldet, nachdem die Sicherheitsfilterung konfiguriert wurde?
A. Nur A1 und A7
B. Nur A7
C. A3, A1, A6 und A7
D. Nur A3 und A1.
Answer: A

NEW QUESTION: 4
A company is migrating a three-tier application to AWS. The application requires a MySQL database. In the past, the application users reported poor application performance when creating new entries. These performance issues were caused by users generating different real-time reports from the application duringworking hours.
Which solution will improve the performance of the application when it is moved to AWS?
A. Create the database on a compute optimized Amazon EC2 instance. Ensure compute resources exceed the on-premises database.
B. Create an Amazon Aurora MySQL Multi-AZ DB cluster. Configure the application to use the backup instance of the cluster as an endpoint for the reports.
C. Create an Amazon Aurora MySQL Multi-AZ DB cluster with multiple read replicas. Configure the application reader endpoint for reports.
D. Import the data into an Amazon DynamoDB table with provisioned capacity. Refactor the application to use DynamoDB for reports.
Answer: B
Explanation:
Amazon RDS Read Replicas Now Support Multi-AZ Deployments
Starting today, Amazon RDS Read Replicas for MySQL and MariaDB now support Multi-AZ deployments. Combining Read Replicas with Multi-AZ enables you to build a resilient disaster recovery strategy and simplify your database engine upgrade process.
Amazon RDS Read Replicas enable you to create one or more read-only copies of your database instance within the same AWS Region or in a different AWS Region. Updates made to the source database are then asynchronously copied to your Read Replicas. In addition to providing scalability for read-heavy workloads, Read Replicas can be promoted to become a standalone database instance when needed.
Amazon RDS Multi-AZ deployments provide enhanced availability for database instances within a single AWS Region. With Multi-AZ, your data is synchronously replicated to a standby in a different Availability Zone (AZ). In the event of an infrastructure failure, Amazon RDS performs an automatic failover to the standby, minimizing disruption to your applications.
You can now use Read Replicas with Multi-AZ as part of a disaster recovery (DR) strategy for your production databases. A well-designed and tested DR plan is critical for maintaining business continuity after a disaster. A Read Replica in a different region than the source database can be used as a standby database and promoted to become the new production database in case of a regional disruption.
You can also combine Read Replicas with Multi-AZ for your database engine upgrade process. You can create a Read Replica of your production database instance and upgrade it to a new database engine version. When the upgrade is complete, you can stop applications, promote the Read Replica to a standalone database instance, and switch over your applications. Since the database instance is already a Multi-AZ deployment, no additional steps are needed.
Overview of Amazon RDS Read Replicas
Deploying one or more read replicas for a given source DB instance might make sense in a variety of scenarios, including the following:
Scaling beyond the compute or I/O capacity of a single DB instance for read-heavy database workloads. You can direct this excess read traffic to one or more read replicas.
Serving read traffic while the source DB instance is unavailable. In some cases, your source DB instance might not be able to take I/O requests, for example due to I/O suspension for backups or scheduled maintenance. In these cases, you can direct read traffic to your read replicas. For this use case, keep in mind that the data on the read replica might be "stale" because the source DB instance is unavailable.
Business reporting or data warehousing scenarios where you might want business reporting queries to run against a read replica, rather than your primary, production DB instance.
Implementing disaster recovery. You can promote a read replica to a standalone instance as a disaster recovery solution if the source DB instance fails.
https://aws.amazon.com/about-aws/whats-new/2018/01/amazon-rds-read-replicas-now-support-multi-az-deployments/
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ReadRepl.html