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AWS Certified Data Analytics - Specialty
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A gaming company is building a serverless data lake. The company is ingesting streamingdata into Amazon Kinesis Data Streams and is writing the data to Amazon S3 throughAmazon Kinesis Data Firehose. The company is using 10 MB as the S3 buffer size and isusing 90 seconds as the buffer interval. The company runs an AWS Glue ET L job tomerge and transform the data to a different format before writing the data back to Amazon S3.Recently, the company has experienced substantial growth in its data volume. The AWSGlue ETL jobs are frequently showing an OutOfMemoryError error.Which solutions will resolve this issue without incurring additional costs? (Select TWO.)
A retail company has 15 stores across 6 cities in the United States. Once a month, thesales team requests a visualization in Amazon QuickSight that provides the ability to easilyidentify revenue trends across cities and stores.The visualization also helps identify outliersthat need to be examined with further analysis.Which visual type in QuickSight meets the sales team's requirements?
A company uses Amazon EC2 instances to receive files from external vendors throughouteach day. At the end of each day, the EC2 instances combine the files into a single file,perform gzip compression, and upload the single file to an Amazon S3 bucket. The totalsize of all the files is approximately 100 GB each day.When the files are uploaded to Amazon S3, an AWS Batch job runs a COPY command toload the files into an Amazon Redshift cluster.Which solution will MOST accelerate the COPY process?
A bank is building an Amazon S3 data lake. The bank wants a single data repository forcustomer data needs, such as personalized recommendations. The bank needs to useAmazon Kinesis Data Firehose to ingest customers' personal information, bank accounts,and transactions in near real time from a transactional relational database. All personally identifiable information (Pll) that is stored in the S3 bucket must be masked.The bank has enabled versioning for the S3 bucket.Which solution will meet these requirements?
A company developed a new voting results reporting website that uses Amazon KinesisData Firehose to deliver full logs from AWS WAF to an Amazon S3 bucket. The company isnow seeking a solution to perform this infrequent data analysis with data visualizationcapabilities in a way that requires minimal development effort.Which solution MOST cost-effectively meets these requirements?