DAS-C01 Dumps Questions With Valid Answers

A financial services company needs to aggregate daily stock trade data from the exchanges into a data store.
The company requires that data be streamed directly into the data store, but also occasionally allows data to be
modified using SQL. The solution should integrate complex, analytic queries running with minimal latency.
The solution must provide a business intelligence dashboard that enables viewing of the top contributors to
anomalies in stock prices.
Which solution meets the company’s requirements?

Once a month, a company receives a 100 MB .csv file compressed with gzip. The file contains 50,000
property listing records and is stored in Amazon S3 Glacier. The company needs its data analyst to query a
subset of the data for a specific vendor.
What is the most cost-effective solution?

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?

A marketing company wants to improve its reporting and business intelligence capabilities. During the
planning phase, the company interviewed the relevant stakeholders, and discovered that:
The operations team reports are run hourly for the current month’s data.
The sales team wants to use multiple Amazon QuickSight dashboards to show a rolling view of the last
30 days based on several categories. The sales team also wants to view the data as soon as it reaches the
reporting backend.
The finance team’s reports are run daily for last month’s data and once a month for the last 24 months of
data.
Currently, there is 400 TB of data in the system with an expected additional 100 TB added every month. The
company is looking for a solution that is as cost-effective as possible.
Which solution meets the company’s requirements?

A university intends to use Amazon Kinesis Data Firehose to collect JSON-formatted batches of water quality  readings in Amazon S3. The readings are from 50 sensors scattered across a local lake. Students will query the
stored data using Amazon Athena to observe changes in a captured metric over time, such as water
temperature or acidity. Interest has grown in the study, prompting the university to reconsider how data will be stored. Which data format and partitioning choices will MOST significantly reduce costs? (Choose two.)