Try Free Amazon DAS-C01 Updated Questions & Answers

Question 1

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.)

AConvert the log files to Apace Avro format.

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

CConvert the log files to Apache Parquet format.

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

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

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

Correct answer: B, C, F

Section: (none)

Question 2

A company that monitors weather conditions from remote construction sites is setting up a solution to collect temperature data from the following two weather stations.

Station A, which has 10 sensors

Station B, which has five sensors

These weather stations were placed by onsite subject-matter experts.

Each sensor has a unique ID. The data collected from each sensor will be collected using Amazon Kinesis Data Streams.

Based on the total incoming and outgoing data throughput, a single Amazon Kinesis data stream with two shards is created. Two partition keys are created based on the station names. During testing, there is a bottleneck on data coming from Station A, but not from Station B. Upon review, it is confirmed that the total stream throughput is still less than the allocated Kinesis Data Streams throughput.

How can this bottleneck be resolved without increasing the overall cost and complexity of the solution, while retaining the data collection quality requirements?

AIncrease the number of shards in Kinesis Data Streams to increase the level of parallelism.

BCreate a separate Kinesis data stream for Station A with two shards, and stream Station A sensor data to the new stream.

CModify the partition key to use the sensor ID instead of the station name.

DReduce the number of sensors in Station A from 10 to 5 sensors.

Correct answer: C

https://docs.aws.amazon.com/streams/latest/dev/kinesis-using-sdk-java-resharding.html

'Splitting increases the number of shards in your stream and therefore increases the data capacity of the stream. Because you are charged on a per-shard basis, splitting increases the cost of your stream'

Question 3

A data analyst runs a large number of data manipulation language (DML) queries by using Amazon Athena with the JDBC driver. Recently, a query failed after It ran for 30 minutes. The query returned the following message

Java.sql.SGLException: Query timeout

The data analyst does not immediately need the query results However, the data analyst needs a long-term solution for this problem

Which solution will meet these requirements?

ASplit the query into smaller queries to search smaller subsets of data.

BIn the settings for Athena, adjust the DML query timeout limit

CIn the Service Quotas console, request an increase for the DML query timeout

DSave the tables as compressed .csv files

Correct answer: A

Question 4

A company using Amazon QuickSight Enterprise edition has thousands of dashboards analyses and datasets. The company struggles to manage and assign permissions for granting users access to various items within QuickSight. The company wants to make it easier to implement sharing and permissions management.

Which solution should the company implement to simplify permissions management?

AUse QuickSight folders to organize dashboards, analyses, and datasets Assign individual users permissions to these folders

BUse QuickSight folders to organize dashboards analyses, and datasets Assign group permissions by using these folders.

CUse AWS 1AM resource-based policies to assign group permissions to QuickSight items

DUse QuickSight user management APIs to provision group permissions based on dashboard naming conventions

Correct answer: C

Question 5

A company is sending historical datasets to Amazon S3 for storage. A data engineer at the company wants to make these datasets available for analysis using Amazon Athen

a. The engineer also wants to encrypt the Athena query results in an S3 results location by using AWS solutions for encryption. The requirements for encrypting the query results are as follows:

Use custom keys for encryption of the primary dataset query results.

Use generic encryption for all other query results.

Provide an audit trail for the primary dataset queries that shows when the keys were used and by whom.

Which solution meets these requirements?

AUse server-side encryption with S3 managed encryption keys (SSE-S3) for the primary dataset. Use SSE-S3 for the other datasets.

BUse server-side encryption with customer-provided encryption keys (SSE-C) for the primary dataset. Use server-side encryption with S3 managed encryption keys (SSE-S3) for the other datasets.

CUse server-side encryption with AWS KMS managed customer master keys (SSE-KMS CMKs) for the primary dataset. Use server-side encryption with S3 managed encryption keys (SSE-S3) for the other datasets.

DUse client-side encryption with AWS Key Management Service (AWS KMS) customer managed keys for the primary dataset. Use S3 client-side encryption with client-side keys for the other datasets.

Correct answer: A

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