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DAS-C01 Question and answers Include

Total Questions: 207 Q&A's
Single Choice: 181 Q&A's
Multiple Choice: 26 Q&A's

Amazon Web Services DAS-C01 Exam Dumps - Valid Questions Answers

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DAS-C01 Questions and Answers

Question # 1

A media analytics company consumes a stream of social media posts. The posts are sent to an Amazon Kinesis data stream partitioned on user_id. An AWS Lambda function retrieves the records and validates the content before loading the posts into an Amazon Elasticsearch cluster. The validation process needs to receive the posts for a given user in the order they were received. A data analyst has noticed that, during peak hours, the social media platform posts take more than an hour to appear in the Elasticsearch cluster.

What should the data analyst do reduce this latency?


Migrate the validation process to Amazon Kinesis Data Firehose.


Migrate the Lambda consumers from standard data stream iterators to an HTTP/2 stream consumer.


Increase the number of shards in the stream.


Configure multiple Lambda functions to process the stream.

Question # 2

A company developed a new elections reporting website that uses Amazon Kinesis Data Firehose to deliver full logs from AWS WAF to an Amazon S3 bucket. The company is now seeking a low-cost option to perform this infrequent data analysis with visualizations of logs in a way that requires minimal development effort.

Which solution meets these requirements?


Use an AWS Glue crawler to create and update a table in the Glue data catalog from the logs. Use Athena to perform ad-hoc analyses and use Amazon QuickSight to develop data visualizations.


Create a second Kinesis Data Firehose delivery stream to deliver the log files to Amazon Elasticsearch Service (Amazon ES). Use Amazon ES to perform text-based searches of the logs for ad-hoc analyses and use Kibana for data visualizations.


Create an AWS Lambda function to convert the logs into .csv format. Then add the function to the Kinesis Data Firehose transformation configuration. Use Amazon Redshift to perform ad-hoc analyses of the logs using SQL queries and use Amazon QuickSight to develop data visualizations.


Create an Amazon EMR cluster and use Amazon S3 as the data source. Create an Apache Spark job to perform ad-hoc analyses and use Amazon QuickSight to develop data visualizations.

Question # 3

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.)


Convert the log files to Apace Avro format.


Add a key prefix of the form date=year-month-day/ to the S3 objects to partition the data.


Convert the log files to Apache Parquet format.


Add a key prefix of the form year-month-day/ to the S3 objects to partition the data.


Drop and recreate the table with the PARTITIONED BY clause. Run the ALTER TABLE ADD PARTITION statement.


Drop and recreate the table with the PARTITIONED BY clause. Run the MSCK REPAIR TABLE statement.

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