Exam AWS Certified Security - Specialty All Questions

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Exam AWS Certified Security - Specialty topic 1 question 170 discussion

Exam question from Amazon's AWS Certified Security - Specialty

Question #: 170
Topic #: 1

[All AWS Certified Security - Specialty Questions]

A company needs a forensic-logging solution for hundreds of applications running in Docker on Amazon EC2. The solution must perform real-time analytics on the logs, must support the replay of messages, and must persist the logs.
Which AWS services should be used to meet these requirements? (Choose two.)

A. Amazon Athena
B. Amazon Kinesis
C. Amazon SQS
D. Amazon Elasticsearch
E. Amazon EMR

Show Suggested Answer

Suggested Answer: BD 🗳️

by PeppaPig at Aug. 30, 2020, 6:15 p.m.

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PeppaPig

Highly Voted 3 years, 9 months ago

B&D are right anwers

upvoted 21 times

OhCobblers

3 years, 9 months ago

B,D - AGREED Kinesis does the replay and can do analytics ES - its a perfect tool for logs

upvoted 4 times

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Raphaello

Most Recent 1 year, 4 months ago

Selected Answer: BD

Kinesis and OpenSearch (ElasticSearch) will do exactly that. BD are correct.

upvoted 1 times

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ITGURU51

2 years, 2 months ago

Kinesis can deliver the stream of data plus provide analytics. Elasticsearch and can be used to analyze and process the data.

upvoted 1 times

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ude

2 years, 11 months ago

Selected Answer: BD

BD https://aws.amazon.com/blogs/compute/building-a-scalable-log-solution-aggregator-with-aws-fargate-fluentd-and-amazon-kinesis-data-firehose/

upvoted 3 times

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sapien45

2 years, 11 months ago

https://aws.amazon.com/blogs/big-data/ingest-streaming-data-into-amazon-elasticsearch-service-within-the-privacy-of-your-vpc-with-amazon-kinesis-data-firehose/ Kinesis and Elastisearch B&D are right anwers

upvoted 1 times

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Jonfernz

3 years, 1 month ago

Selected Answer: BD

Kinesis + ES/OpenSearch = Real time logging analytics/querying.

upvoted 3 times

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DDUUTT123

3 years, 4 months ago

Selected Answer: BD

This is the answer

upvoted 3 times

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Mashiii

3 years, 4 months ago

Selected Answer: BE

B & E As question mention The solution must analyze logs in real time EMR Analyze events from streaming data sources in real-time

upvoted 2 times

TigerInTheCloud

3 years, 2 months ago

EMR is not for realtime

upvoted 2 times

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sanjaym

3 years, 8 months ago

BD for sure

upvoted 2 times

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AlexWong

3 years, 8 months ago

Same question as 68

upvoted 1 times

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kely

3 years, 8 months ago

B & D are the correct answers

upvoted 1 times

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delirium

3 years, 9 months ago

Why not D & E ?

upvoted 1 times

avland

3 years, 8 months ago

Logs have to be analyzed in real time, which means they have to be streamed in real time, thus requiring either Kinesis or Kafka. Only Kinesis is one of the options. Then, among the remaining options, only ES is an output for Kinesis, thus BD.

upvoted 2 times

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ChetanM

3 years, 9 months ago

B & D correct Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch in the AWS Cloud. Elasticsearch is a popular open-source search and analytics engine for use cases such as log analytics, real-time application monitoring, and click stream analytics.

upvoted 2 times

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deegadaze1

3 years, 9 months ago

BE- Correct Not BD-because; Others, like Amazon S3, Amazon Kinesis Data Streams, and Amazon DynamoDB, use AWS Lambda functions as event handlers. https://docs.aws.amazon.com/elasticsearch-service/latest/developerguide/es-aws-integrations.html#es-aws-integrations-kinesis

upvoted 1 times

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dnevado

3 years, 9 months ago

B,D. Correct Kinesis Analytics really provides analytics feature

upvoted 2 times

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Gordiii

3 years, 9 months ago

B - Kinesis: process or analyze streaming data for specialized needs. You can continuously add various types of data such as clickstreams, application logs...; KDS provides ordering of records, as well as the ability to read and/or replay records E - EMR: Analyze events from Apache Kafka, Amazon Kinesis, or other streaming data sources in real-time with Apache Spark Streaming and Apache Flink to create long-running, highly available, and fault-tolerant streaming data pipelines on EMR; EMRFS to persist to S3

upvoted 3 times

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