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A company is building a new application is AWS. The architect needs to design a system to collect application log events. The design should be a repeatable pattern that minimizes data loss if an application instance fails, and keeps a durable copy of all log data for at least 30 days.

What is the simplest architecture that will allow the architect to analyze the logs?

AWrite them directly to a Kinesis Firehose. Configure Kinesis Firehose to load the events into an
Amazon Redshift cluster for analysis.

BWrite them to a file on Amazon Simple Storage Service (S3). Write an AWS lambda function that runs in response to the S3 events to load the events into Amazon Elasticsearch service for analysis.

CWrite them to the local disk and configure the Amazon cloud watch Logs agent to lead the data into CloudWatch Logs and subsequently into Amazon Elasticsearch Service.

DWrite them to CloudWatch Logs and use an AWS Lambda function to load them into HDFS on an Amazon Elastic MapReduce (EMR) cluster for analysis.

Question 2

If I want my instance to run on a single-tenant hardware, which value do I have to set the instance's tenancy attribute to?

Adedicated

Bisolated

Cone

Dreserved

Question 3

The department of transportation for a major metropolitan area has placed sensors on roads at key locations around the city. The goal is to analyze the flow of traffic and notifications from emergency services to identity potential issues and to help planners correct trouble spots.

A data engineer needs a scalable and fault-tolerant solution that allows planners to respond to issues within 30 seconds of their occurrence.

Which solution should the data engineer choose?

ACollect the sensor data with Amazon Kinesis Firehose and store it in Amazon Redshift for analysis. Collect emergency services events with Amazon SQS and store in Amazon DynamoDB for analysis

BCollect the sensor data with Amazon SQS and store in Amazon DynamoDB for analysis.
Collect emergency services events with Amazon Kinesis Firehouse and store in Amazon Redshift for analysis

CCollect both sensor data and emergency services events with Amazon Kinesis Streams and use Amazon DynamoDB for analysis

DCollect both sensor data and emergency services events with Amazon Kinesis Firehouse and use Amazon Redshift for Analysis

Question 4

A real-time bidding company is rebuilding their monolithic application and is focusing on serving real-time data. A large number of reads and writes are generated from thousands of concurrent users who follow items and bid on the company's sale offers.

The company is experiencing high latency during special event spikes, with millions of concurrent users.

The company needs to analyze and aggregate a part of the data in near real time to feed an internal dashboard.

What is the BEST approach for serving and analyzing data, considering the constraint of the row latency on the highly demanded data?

AUse Amazon Aurora with Multi Availability Zone and read replicas. Use Amazon ElastiCache in front of the read replicas to serve read-only content quickly. Use the same database as datasource for the dashboard.

BUse Amazon DynamoDB to store real-time data with Amazon DynamoDB. Accelerator to serve content quickly. use Amazon DynamoDB Streams to replay all changes to the table, process and stream to Amazon Elasti search Service with AWS Lambda.

CUse Amazon RDS with Multi Availability Zone. Provisioned IOPS EBS volume for storage. Enable up to five read replicas to serve read-only content quickly. Use Amazon EMR with Sqoop to import Amazon RDS data into HDFS for analysis.

DUse Amazon Redshift with a DC2 node type and a multi-mode cluster. Create an Amazon EC2 instance with pgpoo1 installed. Create an Amazon ElastiCache cluster and route read requests through pgpoo1, and use Amazon Redshift for analysis.

Question 5

True or False: When you add a rule to a DB security group, you do not need to specify port number or protocol.

ADepends on the RDMS used

BTRUE

CFALSE

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