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NEW QUESTION 25
A company uses Amazon Elasticsearch Service (Amazon ES) to store and analyze its website clickstream data. The company ingests 1 TB of data daily using Amazon Kinesis Data Firehose and stores one day's worth of data in an Amazon ES cluster.
The company has very slow query performance on the Amazon ES index and occasionally sees errors from Kinesis Data Firehose when attempting to write to the index. The Amazon ES cluster has 10 nodes running a single index and 3 dedicated master nodes. Each data node has 1.5 TB of Amazon EBS storage attached and the cluster is configured with 1,000 shards. Occasionally, JVMMemoryPressure errors are found in the cluster logs.
Which solution will improve the performance of Amazon ES?

A. Decrease the number of Amazon ES data nodes.B. Decrease the number of Amazon ES shards for the index.C. Increase the number of Amazon ES shards for the index.D. Increase the memory of the Amazon ES master nodes.

Answer: B

 

NEW QUESTION 26
A company wants to improve the data load time of a sales data dashboard. Data has been collected as .csv files and stored within an Amazon S3 bucket that is partitioned by date. The data is then loaded to an Amazon Redshift data warehouse for frequent analysis. The data volume is up to 500 GB per day.
Which solution will improve the data loading performance?

A. Load the .csv files in an unsorted key order and vacuum the table in Amazon Redshift.B. Split large .csv files, then use a COPY command to load data into Amazon Redshift.C. Use Amazon Kinesis Data Firehose to ingest data into Amazon Redshift.D. Compress .csv files and use an INSERT statement to ingest data into Amazon Redshift.

Answer: B

Explanation:
https://docs.aws.amazon.com/redshift/latest/dg/c_loading-data-best-practices.html

 

NEW QUESTION 27
A company has collected more than 100 TB of log files in the last 24 months. The files are stored as raw text in a dedicated Amazon S3 bucket. Each object has a key of the form year-month-day_log_HHmmss.txt where HHmmss represents the time the log file was initially created. A table was created in Amazon Athena that points to the S3 bucket. One-time queries are run against a subset of columns in the table several times an hour.
A data analyst must make changes to reduce the cost of running these queries. Management wants a solution with minimal maintenance overhead.
Which combination of steps should the data analyst take to meet these requirements? (Choose three.)

A. Add a key prefix of the form year-month-day/ to the S3 objects to partition the data.B. Drop and recreate the table with the PARTITIONED BY clause. Run the MSCK REPAIR TABLE statement.C. Add a key prefix of the form date=year-month-day/ to the S3 objects to partition the data.D. Convert the log files to Apache Parquet format.E. Drop and recreate the table with the PARTITIONED BY clause. Run the ALTER TABLE ADD PARTITION statement.F. Convert the log files to Apace Avro format.

Answer: B,C,D

Explanation:
Section: (none)
Explanation

 

NEW QUESTION 28
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