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NEW QUESTION: 1
You have an Apache Hive table that contains one billion rows.
You plan to use queries that will filter the data by using the WHERE clause. The values of the columns will be known only while the data loads into a Hive table.
You need to decrease the query runtime.
What should you configure?
A. parallel execution
B. static partitioning
C. dynamic partitioning
D. bucket sampling
Answer: A
Explanation:
References: https://www.qubole.com/blog/5-tips-for-efficient-hive-queries/

NEW QUESTION: 2
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 an AWS Elastic search
Service Domain running Kibana 4 and perform log analysis on a search cluster.
B. Begin using CloudWatch Logs on every service. Stream all Log Groups into S3 objects. Use AWS EMR
clusterjobs to perform adhoc MapReduce analysis and write new queries when needed.
C. Copy all log files into AWS S3 using a cron job on each instance. Use an S3 Notification Configuration
on the PutBucket event and publish events to AWS Lambda. Use the Lambda to analyze logs as soon as
they come in and flag issues.
D. Copy all log files into AWS S3 using a cron job on each instance. Use an S3 Notification Configuration
on the PutBucket 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.
Answer: A
Explanation:
Explanation
Amazon Dasticsearch Service makes it easy to deploy, operate, and scale dasticsearch for log analytics, full
text search, application monitoring, and more. Amazon
Oasticsearch Service is a fully managed service that delivers Dasticsearch's easy-to-use APIs and real-time
capabilities along with the availability, scalability, and
security required by production workloads. The service offers built-in integrations with Kibana, Logstash, and
AWS services including Amazon Kinesis Firehose, AWS
Lambda, and Amazon Cloud Watch so that you can go from raw data to actionable insights quickly.
For more information on Elastic Search, please refer to the below link:
* https://aws.amazon.com/elasticsearch-service/

NEW QUESTION: 3
Which of the following ratios demonstrate the company's ability to meet its current obligations? These can help resolve one of the common controversies in business valuation: whether the company has any assets in excess of those required for its operating needs or, conversely, whether its assets fall short of its needs.
A. Activity ratios
B. Liquidity ratios
C. Income statement coverage ratios
D. Leverage rations
Answer: B