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NEW QUESTION: 1
A DevOps Engineer needs to design and implement a backup mechanism for Amazon EFS. The Engineer is given the following requirements:
*The backup should run on schedule.
*The backup should be stopped if the backup window expires.
*The backup should be stopped if the backup completes before the backup window.
*The backup logs should be retained for further analysis.
The design should support highly available and fault-tolerant paradigms.
*Administrators should be notified with backup metadata.
Which design will meet these requirements?
A. Use AWS Lambda with an Amazon CloudWatch Events rule for scheduling the start/stop of backup activity. Run backup scripts on Amazon EC2 in an Auto Scaling group. Use Auto Scaling lifecycle hooks and the SSM Run Command on EC2 for uploading backup logs to Amazon S3. Use Amazon SNS to notify administrators with backup activity metadata.
B. Use Amazon SWF with an Amazon CloudWatch Events rule for scheduling the start/stop of backup activity. Run backup scripts on Amazon EC2 in an Auto Scaling group. Use Auto Scaling lifecycle hooks and the SSM Run Command on EC2 for uploading backup logs to Amazon Redshift. Use CloudWatch Alarms to notify administrators with backup activity metadata.
C. Use AWS CodePipeline with an Amazon CloudWatch Events rule for scheduling the start/stop of backup activity. Run backup scripts on Amazon EC2 in a single Availability Zone. Use Auto Scaling lifecycle hooks and the SSM Run Command on Amazon EC2 for uploading backup logs to Amazon S3.
Use Amazon SES to notify admins with backup activity metadata.
D. Use AWS Data Pipeline with an Amazon CloudWatch Events rule for scheduling the start/stop of backup activity. Run backup scripts on Amazon EC2 in a single Availability Zone. Use Auto Scaling lifecycle hooks and the SSM Run Command on EC2 for uploading the backup logs to Amazon RDS.
Use Amazon SNS to notify administrators with backup activity metadata.
Answer: A
Explanation:
Explanation
https://docs.aws.amazon.com/efs/latest/ug/alternative-efs-backup.html

NEW QUESTION: 2
DRAG DROP
You are creating a SQL Server Integration Services (SSIS) package to populate a fact table from a source table. The fact table and source table are located in a SQL Azure database. The source table has a price field and a tax field. The OLE DB source uses the data access mode of Table.
You have the following requirements:
The fact table must populate a column named TotalCost that computes the sum of the price and tax

columns.
Before the sum is calculated, any records that have a price of zero must be discarded.

You need to create the SSIS package in SQL Server Data Tools.
In what sequence should you order four of the listed components for the data flow task? (To answer, move the appropriate components from the list of components to the answer area and arrange them in the correct order.) Select and Place:

Answer:
Explanation:

NEW QUESTION: 3
Note: This question is part of a series of questions that present the same Scenario.
Each question I the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution while others might not have correct solution.
You are implementing a batch processing solution by using Azure HDlnsight.
You have a table that contains sales data.
You plan to implement a query that will return the number of orders by zip code.
You need to minimize the execution time of the queries and to maximize the compression level of the resulting data.
What should you do?
A. Increase the number of spark.executor.cores in an Apache Spark job that stores the data in a text format.
B. Use an action in an Apache Oozie workflow that stores the data in a text format.
C. Increase the number of spark.executor.instances in an Apache Spark job that stores the data in a text format.
D. Use an Azure Data Factory linked service that stores the data In an Azure DocumentDB database.
E. Use a broadcast join in an Apache Hive query that stores the data in an ORC format.
F. Use an Azure Data Factory linked service that stores the data in Azure Data lake.
G. Decrease the level of parallelism in an Apache Spark job that Mores the data in a text format.
H. Use a shuffle join in an Apache Hive query that stores the data in a JSON format.
Answer: E

NEW QUESTION: 4
You are asked to deploy 20 QFX Series devices using ZTP. Each QFX5100 requires a specific FTP server.
In this scenario, which two components must you configure on the DHCP server? (Choose two.)
A. the IP address of the FTP server
B. the MAC address of each QFX5100
C. the IP address of each QFX5100
D. the MAC address of the FTP server
Answer: A,B

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