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NEW QUESTION: 1
情報システム監査人は、ライセンス契約に違反して、同じライセンスキーを持つソフトウェアが複数のワークステーションに展開されているインスタンスを発見します。次のうち、監査人の最良の推奨事項はどれですか？
A. 問題のあるパッケージから埋め込みキーを削除します。
B. 追加ライセンスの資金調達についてビジネスケースを評価します。
C. ソフトウェアアクセスを許可する前に事業主の承認が必要
D. 重複を管理するためのソフトウェアライセンス監視を実装します。
Answer: D

NEW QUESTION: 2

A. Forward
B. Broadcast
C. Filter
D. Drop
E. Inspect
Answer: D,E

NEW QUESTION: 3
A Machine Learning Specialist is working with a large cybersecurily company that manages security events in real time for companies around the world The cybersecurity company wants to design a solution that will allow it to use machine learning to score malicious events as anomalies on the data as it is being ingested The company also wants be able to save the results in its data lake for later processing and analysis What is the MOST efficient way to accomplish these tasks'?
A. Ingest the data into Apache Spark Streaming using Amazon EMR. and use Spark MLlib with k-means to perform anomaly detection Then store the results in an Apache Hadoop Distributed File System (HDFS) using Amazon EMR with a replication factor of three as the data lake
B. Ingest the data and store it in Amazon S3 Use AWS Batch along with the AWS Deep Learning AMIs to train a k-means model using TensorFlow on the data in Amazon S3.
C. Ingest the data and store it in Amazon S3. Have an AWS Glue job that is triggered on demand transform the new data Then use the built-in Random Cut Forest (RCF) model within Amazon SageMaker to detect anomalies in the data
D. Ingest the data using Amazon Kinesis Data Firehose, and use Amazon Kinesis Data Analytics Random Cut Forest (RCF) for anomaly detection Then use Kinesis Data Firehose to stream the results to Amazon S3
Answer: A

NEW QUESTION: 4
Ein Unternehmen entwickelt eine Java-Web-App. Der Webanwendungscode wird in einem GitHub-Repository unter gehostet
https://github.com/Contoso/webapp.
Die Web-App muss evaluiert werden, bevor sie in die Produktion verlagert wird. Sie müssen die erste Codeversion in einem Bereitstellungssteckplatz mit dem Namen "Staging" bereitstellen.
Sie müssen die Web-App erstellen und den Code bereitstellen.
Wie solltest du die Befehle ausführen? Wählen Sie zum Beantworten die entsprechenden Optionen im Antwortbereich aus.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.

Answer:
Explanation:

Explanation


Box 1: group
# Create a resource group.
az group create --location westeurope --name myResourceGroup
Box 2: appservice plan
# Create an App Service plan in STANDARD tier (minimum required by deployment slots).
az appservice plan create --name $webappname --resource-group myResourceGroup --sku S1
Box 3: webapp
# Create a web app.
az webapp create --name $webappname --resource-group myResourceGroup \
--plan $webappname
Box 4: webapp deployment slot
#Create a deployment slot with the name "staging".
az webapp deployment slot create --name $webappname --resource-group myResourceGroup \
--slot staging
Box 5: webapp deployment source
# Deploy sample code to "staging" slot from GitHub.
az webapp deployment source config --name $webappname --resource-group myResourceGroup \
--slot staging --repo-url $gitrepo --branch master --manual-integration
References:
https://docs.microsoft.com/en-us/azure/app-service/scripts/cli-deploy-staging-environment