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NEW QUESTION: 1
You are deploying a new storage system for your mobile application, which is a media streaming service.
You decide the best fit is Google Cloud Datastore. You have entities with multiple properties, some of which can take on multiple values. For example, in the entity `Movie' the property `actors' and the property
`tags' have multiple values but the property `date released' does not. A typical query would ask for all movies with actor=<actorname> ordered by date_released or all movies with tag=Comedy ordered by date_released. How should you avoid a combinatorial explosion in the number of indexes?
A. Option B.
B. Option A
C. Option C
D. Option D
Answer: B
NEW QUESTION: 2
For auditing, analytics, and troubleshooting purposes, a DevOps Engineer for a data analytics application needs to collect all of the application and Linux system logs from the Amazon EC2 instances before termination. The company, on average, runs 10,000 instances in an Auto Scaling group. The company requires the ability to quickly find logs based on instance IDs and date ranges.
Which is the MOST cost-effective solution?
A. Create an EC2 Instance-terminate Lifecycle Action on the group, push the logs into Amazon Kinesis Data Firehouse, and select Amazon ES as the destination for providing storage and search capability.
B. Create an EC2 Instance-terminate Lifecycle Action on the group, create an Amazon CloudWatch Events rule based on it to trigger an AWS Lambda function for storing the logs in Amazon S3, and create a catalog of log files in an Amazon DynamoDB table with the primary key being Instance ID and sort key being Instance Termination Date.
C. Create an EC2 Instance-terminate Lifecycle Action on the group, write a termination script for pushing logs into Amazon S3, and trigger an AWS Lambda function based on S3 PUT to create a catalog of log files in an Amazon DynamoDB table with the primary key being Instance ID and sort key being Instance Termination Date.
D. Create an EC2 Instance-terminate Lifecycle Action on the group, write a termination script for pushing logs into Amazon CloudWatch Logs, create a CloudWatch Events rule to trigger an AWS Lambda function to create a catalog of log files in an Amazon DynamoDB table with the primary key being Instance ID and sort key being Instance Termination Date.
Answer: B
Explanation:
Explanation
https://docs.aws.amazon.com/autoscaling/ec2/userguide/lifecycle-hooks.html
NEW QUESTION: 3
オンプレミスの配送データをAzureに移行する必要があります。
何を使うべきですか？
A. Azure Cosmos DBデータ移行ツール（dt.exe）
B. Azureデータベース移行サービス
C. AzCopy
D. Azure Migrate
Answer: B
Explanation:
Migrate from on-premises or cloud implementations of MongoDB to Azure Cosmos DB with minimal downtime by using Azure Database Migration Service. Perform resilient migrations of MongoDB data at scale and with high reliability.
Scenario: Data migration from on-premises to Azure must minimize costs and downtime.
The application uses MongoDB JSON document storage database for all container and transport information.
References:
https://azure.microsoft.com/en-us/updates/mongodb-to-azure-cosmos-db-online-and-offline-migrations-are-now-available/