Free SAA-C02 Exam Braindumps (page: 7)

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A company has a custom application running on an Amazon EC2 instance that:

· Reads a large amount of data from Amazon S3

· Performs a multi-stage analysis.

Writes the results to Amazon DynamoDB

The application writes a significant number of large, temporary files during the multi-stage analysis. The process performance depends on the temporary storage performance. What would be the fastest storage option for holding the temporary files?

  1. Multiple Amazon S3 buckets with Transfer Acceleration for storage.
  2. Multiple Amazon EBS drives with Provisioned IOPS and EBS optimization.
  3. Multiple Amazon EFS volumes using the Network File System version 4 1 (NFSv4 1) protocol.
  4. Multiple instance store volumes with software RAID 0.

Answer(s): A



A company's legacy application is currently relying on a single-instance Amazon RDS MySQL database without encryption. Due to new compliance requirements all existing and new data in this database must be encrypted.

How should this be accomplished?

  1. Create an Amazon S3 bucket with server-side encryption enabled Move all the data to Amazon S3 Delete the RDS instance.
  2. Enable RDS Multi-AZ mode with encryption at rest enabled. Perform a failover to the standby instance to delete the original instance.
  3. Take a snapshot of the RDS instance. Create an encrypted copy of the snapshot. Restore the RDS instance from the encrypted snapshot.
  4. Create an RDS read replica with encryption at rest enabled Promote the read replica to master and switch the application over to the new master Delete the old RDS instance.

Answer(s): C



A company needs to store 160TB of data for an indefinite of time. The company must be able to use standard SQL and business intelligence tools to query all of the data. The data will be queried no more than twice each month.

What is the MOST cost-effective solution that meets these requirements?

  1. Store the data in Amazon Aurora Serverles with MySQL . Use an SQL client to query the data.
  2. Store the data in Amazon S3. Use AWS Glue. Amazon Athena. IDBC and COBC drivers to query the data.
  3. Store the data in an Amazon EMR cluster with EMR File System (EMRFS) as the storage layer use Apache Presto to query the data.
  4. Store a subnet of the data in Amazon Redshift, and store the remaining data in Amazon S3. Use Amazon Redshift Spectrum to query the S3 data.

Answer(s): D



A solution architect at a company is designing the architecture for a two-tiered web application. The web application is composed of an internet facing application load balancer that forwards traffic to an auto scaling group of amazon EC2 instances. The EC2 instances must be able to access a database that runs on Amazon RDS.

The company has requested a defence-in-depth approach to the network layout. The company does not want to rely solely on security groups or network ACLs. Only the minimum resources that are necessary should be routable from the internet.

Which network design should the solutions architect recommend to meet these requirements?

  1. Place the ALB, EC2 instances and RDS database in private subnets.
  2. Place the ALB in public subnets. Place the EC2 instances and RDS database in private subnets.
  3. Place the ALB and EC2 instances in public subnets. Place the RDS database in private subnets.
  4. Place the ALB outside the VPC. Place the EC2 instances and RDS database in private subnets.

Answer(s): C



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