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NEW QUESTION: 1
You are hired as the new head of operations for a SaaS company. Your CTO has asked you to make
debugging any part of your entire operation simpler and as fast as possible. She complains that she has
no idea what is going on in the complex, service-oriented architecture, because the developers just log to
disk, and it's very hard to find errors in logs on so many services. How can you best meet this requirement
and satisfy your CTO?
A. Begin using CloudWatch Logs on every service. Stream all Log Groups into S3 objects. Use AWS
EMR cluster jobs to perform ad-hoc MapReduce analysis and write new queries when needed.
B. Copy all log files into AWS S3 using a cron job on each instance. Use an S3 Notification Configuration
on the <code>PutBucket</code> event and publish events to AWS Kinesis. Use Apache Spark on AWS
EMR to perform at-scale stream processing queries on the log chunks and flag issues.
C. Copy all log files into AWS S3 using a cron job on each instance. Use an S3 Notification Configuration
on the <code>PutBucket</code> event and publish events to AWS Lambda. Use the Lambda to analyze
logs as soon as they come in and flag issues.
D. Begin using CloudWatch Logs on every service. Stream all Log Groups into an AWS Elasticsearch
Service Domain running Kibana 4 and perform log analysis on a search cluster.
Answer: D
Explanation:
The Elasticsearch and Kibana 4 combination is called the ELK Stack, and is designed specifically for
real-time, ad-hoc log analysis and aggregation. All other answers introduce extra delay or require
pre-defined queries.
Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale
Elasticsearch in the AWS Cloud. Elasticsearch is a popular open-source search and analytics engine for
use cases such as log analytics, real-time application monitoring, and click stream analytics.
Reference: https://aws.amazon.com/elasticsearch-service/

NEW QUESTION: 2
A user has provisioned 2000 IOPS to the EBS volume. The application hosted on that EBS is experiencing less IOPS than provisioned. Which of the below mentioned options does not affect the IOPS of the volume?
A. The application does not have enough IO for the volume
B. The volume size is too large
C. The EC2 instance has 10 Gigabit Network connectivity
D. The instance is EBS optimized
Answer: B
Explanation:
Explanation/Reference:
Explanation:
When the application does not experience the expected IOPS or throughput of the PIOPS EBS volume that was provisioned, the possible root cause could be that the EC2 bandwidth is the limiting factor and the instance might not be either EBS-optimized or might not have 10 Gigabit network connectivity. Another possible cause for not experiencing the expected IOPS could also be that the user is not driving enough I/ O to the EBS volumes. The size of the volume may not affect IOPS.

NEW QUESTION: 3
Match each workload profile description with the corresponding profile.

Answer:
Explanation:

Explanation
Missing Critical - Large number of database operations
Transactional Application Processing - Trades performance for reliability General Peak Frequency Compute - Maximize processor speed