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NEW QUESTION: 1
A Data Scientist needs to create a serverless ingestion and analytics solution for high-velocity, real-time streaming data.
The ingestion process must buffer and convert incoming records from JSON to a query-optimized, columnar format without data loss. The output datastore must be highly available, and Analysts must be able to run SQL queries against the data and connect to existing business intelligence dashboards.
Which solution should the Data Scientist build to satisfy the requirements?
A. Write each JSON record to a staging location in Amazon S3. Use the S3 Put event to trigger an AWS Lambda function that transforms the data into Apache Parquet or ORC format and inserts it into an Amazon RDS PostgreSQL database. Have the Analysts query and run dashboards from the RDS database.
B. Create a schema in the AWS Glue Data Catalog of the incoming data format. Use an Amazon Kinesis Data Firehose delivery stream to stream the data and transform the data to Apache Parquet or ORC format using the AWS Glue Data Catalog before delivering to Amazon S3. Have the Analysts query the data directly from Amazon S3 using Amazon Athena, and connect to Bl tools using the Athena Java Database Connectivity (JDBC) connector.
C. Use Amazon Kinesis Data Analytics to ingest the streaming data and perform real-time SQL queries to convert the records to Apache Parquet before delivering to Amazon S3. Have the Analysts query the data directly from Amazon S3 using Amazon Athena and connect to Bl tools using the Athena Java Database Connectivity (JDBC) connector.
D. Write each JSON record to a staging location in Amazon S3. Use the S3 Put event to trigger an AWS Lambda function that transforms the data into Apache Parquet or ORC format and writes the data to a processed data location in Amazon S3. Have the Analysts query the data directly from Amazon S3 using Amazon Athena, and connect to Bl tools using the Athena Java Database Connectivity (JDBC) connector.
Answer: B
NEW QUESTION: 2
You configured a SnapMirror relationship with a default policy for the daily mirroring of a volume which contains financial data. Although the data is critical, it only changes on a monthly basis.
Using OnCommand System Manager, which two actions would change the frequency of the SnapMirror updates? (Choose two.)
A. Select or create a different schedule.
B. Edit the parameters of the default schedule.
C. Edit the parameters of the default policy.
D. Select or create a different policy.
Answer: C,D
NEW QUESTION: 3
Which statement regarding triggers is true?
A. Triggers can only be fired one time per statement irrespective of the number of rows affected.
B. Triggers cannot be modified, they must be dropped and recreated with new definitions.
C. Adding a trigger to a table that already has rows in it will cause triggered actions to be fired.
D. Only one INSERT, UPDATE, or DELETE trigger can be defined per table.
Answer: B
NEW QUESTION: 4
人事部は、潜在的なサービスとしてのソフトウェア（SaaS）クラウドサービスを評価しています。情報セキュリティマネージャーが最初にサポートする必要があるのは、次のうちどれですか。
A. クラウドサービスの使用に関する費用便益分析を実行します。
B. クラウドサービスプロバイダーのコントロールレポートを確認します。
C. クラウドサービスプロバイダーのセキュリティ監査を実施します。
D. クラウドサービスを採用するリスク評価を実行します。
Answer: D
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