Amazon AWS Certified Solutions Architect - Professional SAP-C01
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#51 (Accuracy: 100% / 2 votes)
You are developing a new mobile application and are considering storing user preferences in AWS.2w This would provide a more uniform cross-device experience to users using multiple mobile devices to access the application. The preference data for each user is estimated to be 50KB in size Additionally 5 million customers are expected to use the application on a regular basis.
The solution needs to be cost-effective, highly available, scalable and secure, how would you design a solution to meet the above requirements?
  • A. Setup an RDS MySQL instance in 2 availability zones to store the user preference data. Deploy a public facing application on a server in front of the database to manage security and access credentials
  • B. Setup a DynamoDB table with an item for each user having the necessary attributes to hold the user preferences. The mobile application will query the user preferences directly from the DynamoDB table. Utilize STS. Web Identity Federation, and DynamoDB Fine Grained Access Control to authenticate and authorize access.
  • C. Setup an RDS MySQL instance with multiple read replicas in 2 availability zones to store the user preference data .The mobile application will query the user preferences from the read replicas. Leverage the MySQL user management and access privilege system to manage security and access credentials.
  • D. Store the user preference data in S3 Setup a DynamoDB table with an item for each user and an item attribute pointing to the user' S3 object. The mobile application will retrieve the S3 URL from DynamoDB and then access the S3 object directly utilize STS, Web identity Federation, and S3 ACLs to authenticate and authorize access.
#52 (Accuracy: 100% / 3 votes)
You deployed your company website using Elastic Beanstalk and you enabled log file rotation to S3. An Elastic Map Reduce job is periodically analyzing the logs on S3 to build a usage dashboard that you share with your CIO.
You recently improved overall performance of the website using Cloud Front for dynamic content delivery and your website as the origin.
After this architectural change, the usage dashboard shows that the traffic on your website dropped by an order of magnitude.
How do you fix your usage dashboard?
  • A. Enable Cloud Front to deliver access logs to S3 and use them as input of the Elastic Map Reduce job.
  • B. Turn on Cloud Trail and use trail log tiles on S3 as input of the Elastic Map Reduce job
  • C. Change your log collection process to use Cloud Watch ELB metrics as input of the Elastic Map Reduce job
  • D. Use Elastic Beanstalk "Rebuild Environment" option to update log delivery to the Elastic Map Reduce job.
  • E. Use Elastic Beanstalk "Restart App server(s)" option to update log delivery to the Elastic Map Reduce job.
#53 (Accuracy: 100% / 2 votes)
How can an EBS volume that is currently attached to an EC2 instance be migrated from one Availability Zone to another?
  • A. Detach the volume and attach it to another EC2 instance in the other AZ.
  • B. Simply create a new volume in the other AZ and specify the original volume as the source.
  • C. Create a snapshot of the volume, and create a new volume from the snapshot in the other AZ.
  • D. Detach the volume, then use the ec2-migrate-volume command to move it to another AZ.
#54 (Accuracy: 100% / 1 votes)
After launching an instance that you intend to serve as a NAT (Network Address Translation) device in a public subnet you modify your route tables to have the
NAT device be the target of internet bound traffic of your private subnet. When you try and make an outbound connection to the internet from an instance in the private subnet, you are not successful.
Which of the following steps could resolve the issue?
  • A. Disabling the Source/Destination Check attribute on the NAT instance
  • B. Attaching an Elastic IP address to the instance in the private subnet
  • C. Attaching a second Elastic Network Interface (ENI) to the NAT instance, and placing it in the private subnet
  • D. Attaching a second Elastic Network Interface (ENI) to the instance in the private subnet, and placing it in the public subnet
#55 (Accuracy: 100% / 1 votes)
Your application provides data transformation services. Files containing data to be transformed are first uploaded to Amazon S3 and then transformed by a fleet of spot EC2 instances. Files submitted by your premium customers must be transformed with the highest priority.
How should you implement such a system?
  • A. Use a DynamoDB table with an attribute defining the priority level. Transformation instances will scan the table for tasks, sorting the results by priority level.
  • B. Use Route 53 latency based-routing to send high priority tasks to the closest transformation instances.
  • C. Use two SQS queues, one for high priority messages, the other for default priority. Transformation instances first poll the high priority queue; if there is no message, they poll the default priority queue.
  • D. Use a single SQS queue. Each message contains the priority level. Transformation instances poll high-priority messages first.
#56 (Accuracy: 100% / 1 votes)
In AWS, which security aspects are the customer's responsibility? (Choose four.)
  • A. Security Group and ACL (Access Control List) settings
  • B. Decommissioning storage devices
  • C. Patch management on the EC2 instance's operating system
  • D. Life-cycle management of IAM credentials
  • E. Controlling physical access to compute resources
  • F. Encryption of EBS (Elastic Block Storage) volumes
#57 (Accuracy: 100% / 2 votes)
Within the IAM service a GROUP is regarded as a:
  • A. A collection of AWS accounts
  • B. It's the group of EC2 machines that gain the permissions specified in the GROUP.
  • C. There's no GROUP in IAM, but only USERS and RESOURCES.
  • D. A collection of users.
#58 (Accuracy: 100% / 1 votes)
A 3-Ber e-commerce web application is currently deployed on-premises, and will be migrated to AWS for greater scalability and elasticity. The web tier currently shares read-only data using a network distributed file system. The app server tier uses a clustering mechanism for discovery and shared session state that depends on IP multicast. The database tier uses shared-storage clustering to provide database failover capability, and uses several read slaves for scaling. Data on all servers and the distributed file system directory is backed up weekly to off-site tapes.
Which AWS storage and database architecture meets the requirements of the application?
  • A. Web servers: store read-only data in S3, and copy from S3 to root volume at boot time. App servers: share state using a combination of DynamoDB and IP unicast. Database: use RDS with multi-AZ deployment and one or more read replicas. Backup: web servers, app servers, and database backed up weekly to Glacier using snapshots.
  • B. Web servers: store read-only data in an EC2 NFS server, mount to each web server at boot time. App servers: share state using a combination of DynamoDB and IP multicast. Database: use RDS with multi- AZ deployment and one or more Read Replicas. Backup: web and app servers backed up weekly via AMIs, database backed up via DB snapshots.
  • C. Web servers: store read-only data in S3, and copy from S3 to root volume at boot time. App servers: share state using a combination of DynamoDB and IP unicast. Database: use RDS with multi-AZ deployment and one or more Read Replicas. Backup: web and app servers backed up weekly via AMIs, database backed up via DB snapshots.
  • D. Web servers: store read-only data in S3, and copy from S3 to root volume at boot time App servers: share state using a combination of DynamoDB and IP unicast. Database: use RDS with multi-AZ deployment. Backup: web and app servers backed up weekly via AMIs, database backed up via DB snapshots.
#59 (Accuracy: 100% / 1 votes)
A user is running a batch process on EBS backed EC2 instances. The batch process launches few EC2 instances to process Hadoop Map reduce jobs which can run between 50 ?600 minutes or sometimes for even more time. The user wants a configuration that can terminate the instance only when the process is completed.
How can the user configure this with CloudWatch?
  • A. Configure a job which terminates all instances after 600 minutes
  • B. It is not possible to terminate instances automatically
  • C. Configure the CloudWatch action to terminate the instance when the CPU utilization falls below 5%
  • D. Set up the CloudWatch with Auto Scaling to terminate all the instances
#60 (Accuracy: 100% / 1 votes)
When you resize the Amazon RDS DB instance, Amazon RDS will perform the upgrade during the next maintenance window. If you want the upgrade to be performed now, rather than waiting for the maintenance window, specify the option.
  • A. ApplyNow
  • B. ApplySoon
  • C. ApplyThis
  • D. ApplyImmediately