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NEW QUESTION: 1
When upgrading a standalone vCenter Single Sign-On Server version 5.5 to version 6.5, which will be the final deployment type?
A. It will be a Standalone vCenter Server.
B. It will be an external Platform Services Controller.
C. There is no option to do this type of upgrade.
D. It will be an embedded Platform Services Controller with vCenter Server
Answer: B
Explanation:
Explanation
You can upgrade an externally deployed vCenter Single Sign-On 5.5 to an externally deployed Platform Services Controller 6.5 instance by using the vCenter Server for Windows installer.
NEW QUESTION: 2
________サービスは、Amazon EC2、Amazon SimpleDB、AWSマネジメントコンソールなどのAWS製品を使用する複数のユーザーまたはシステムを持つ組織を対象としています。
A. Amazon RDS
B. Amazon EMR
C. AWS Integrity Management
D. AWS Identity and Access Management
Answer: D
Explanation:
Explanation
https://aws.amazon.com/documentation/iam/?nc1=h_ls
NEW QUESTION: 3
You operate an IoT pipeline built around Apache Kafka that normally receives around 5000 messages per second. You want to use Google Cloud Platform to create an alert as soon as the moving average over 1 hour drops below 4000 messages per second. What should you do?
A. Use Kafka Connect to link your Kafka message queue to Cloud Pub/Sub. Use a Cloud Dataflow template to write your messages from Cloud Pub/Sub to BigQuery. Use Cloud Scheduler to run a script every five minutes that counts the number of rows created in BigQuery in the last hour. If that number falls below 4000, send an alert.
B. Use Kafka Connect to link your Kafka message queue to Cloud Pub/Sub. Use a Cloud Dataflow template to write your messages from Cloud Pub/Sub to Cloud Bigtable. Use Cloud Scheduler to run a script every hour that counts the number of rows created in Cloud Bigtable in the last hour. If that number falls below 4000, send an alert.
C. Consume the stream of data in Cloud Dataflow using Kafka IO. Set a fixed time window of 1 hour.
Compute the average when the window closes, and send an alert if the average is less than 4000 messages.
D. Consume the stream of data in Cloud Dataflow using Kafka IO. Set a sliding time window of 1 hour every 5 minutes. Compute the average when the window closes, and send an alert if the average is less than 4000 messages.
Answer: B
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