AWS Certified Solutions Architect - Professional

AWS Certified Solutions Architect - Professional practice questions, page 5 of 41, with answer review and explanations.

Question 21

The following are AWS Storage services? (Choose two.)

  1. AWS Relational Database Service (AWS RDS)
  2. AWS ElastiCache
  3. AWS Glacier
  4. AWS Import/Export

Question 22

How is AWS readily distinguished from other vendors in the traditional IT computing landscape?

  1. Experienced. Scalable and elastic. Secure. Cost-effective. Reliable
  2. Secure. Flexible. Cost-effective. Scalable and elastic. Global
  3. Secure. Flexible. Cost-effective. Scalable and elastic. Experienced
  4. Flexible. Cost-effective. Dynamic. Secure. Experienced.

Question 23

You have launched an EC2 instance with four (4) 500 GB EBS Provisioned IOPS volumes attached. The EC2 instance is EBS-Optimized and supports 500 Mbps throughput between EC2 and EBS. The four EBS volumes are configured as a single RAID 0 device, and each Provisioned IOPS volume is provisioned with 4,000 IOPS (4,000 16KB reads or writes), for a total of 16,000 random IOPS on the instance. The EC2 instance initially delivers the expected 16,000 IOPS random read and write performance. Sometime later, in order to increase the total random I/O performance of the instance, you add an additional two 500 GB EBS Provisioned IOPS volumes to the RAID. Each volume is provisioned to 4,000 IOPs like the original four, for a total of 24,000 IOPS on the EC2 instance. Monitoring shows that the EC2 instance CPU utilization increased from 50% to 70%, but the total random IOPS measured at the instance level does not increase at all. What is the problem and a valid solution?

  1. The EBS-Optimized throughput limits the total IOPS that can be utilized; use an EBSOptimized instance that provides larger throughput.
  2. Small block sizes cause performance degradation, limiting the I/O throughput; configure the instance device driver and filesystem to use 64KB blocks to increase throughput.
  3. The standard EBS Instance root volume limits the total IOPS rate; change the instance root volume to also be a 500GB 4,000 Provisioned IOPS volume.
  4. Larger storage volumes support higher Provisioned IOPS rates; increase the provisioned volume storage of each of the 6 EBS volumes to 1TB.
  5. RAID 0 only scales linearly to about 4 devices; use RAID 0 with 4 EBS Provisioned IOPS volumes, but increase each Provisioned IOPS EBS volume to 6,000 IOPS.

Question 24

Your company is storing millions of sensitive transactions across thousands of 100-GB files that must be encrypted in transit and at rest. Analysts concurrently depend on subsets of files, which can consume up to 5 TB of space, to generate simulations that can be used to steer business decisions. You are required to design an AWS solution that can cost effectively accommodate the long-term storage and in-flight subsets of data. Which approach can satisfy these objectives?

  1. Use Amazon Simple Storage Service (S3) with server-side encryption, and run simulations on subsets in ephemeral drives on Amazon EC2.
  2. Use Amazon S3 with server-side encryption, and run simulations on subsets in-memory on Amazon EC2.
  3. Use HDFS on Amazon EMR, and run simulations on subsets in ephemeral drives on Amazon EC2.
  4. Use HDFS on Amazon Elastic MapReduce (EMR), and run simulations on subsets in-memory on Amazon Elastic Compute Cloud (EC2).
  5. Store the full data set in encrypted Amazon Elastic Block Store (EBS) volumes, and regularly capture snapshots that can be cloned to EC2 workstations.

Question 25

Your customer is willing to consolidate their log streams (access logs, application logs, security logs, etc.) in one single system. Once consolidated, the customer wants to analyze these logs in real time based on heuristics. From time to time, the customer needs to validate heuristics, which requires going back to data samples extracted from the last 12 hours. What is the best approach to meet your customer's requirements?

  1. Send all the log events to Amazon SQS, setup an Auto Scaling group of EC2 servers to consume the logs and apply the heuristics.
  2. Send all the log events to Amazon Kinesis, develop a client process to apply heuristics on the logs
  3. Configure Amazon CloudTrail to receive custom logs, use EMR to apply heuristics the logs
  4. Setup an Auto Scaling group of EC2 syslogd servers, store the logs on S3, use EMR to apply heuristics on the logs