Amazon Kinesis Data Analytics Overview

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Questions and Answers

Which AWS solution ensures that orders are processed in the sequence they are received?

Use an API Gateway integration to send a message to an Amazon SQS FIFO queue. (correct)

Use an API Gateway authorizer to block requests while processing an order.

Use an API Gateway integration to publish a message to an Amazon SNS topic.

Use an API Gateway integration to send a message to an Amazon SQS standard queue.

What is a benefit of using Amazon SQS FIFO queues over standard queues for order processing?

Standard queues allow for message deduplication better than FIFO queues.

FIFO queues ensure that messages are processed exactly once and in order. (correct)

FIFO queues allow for higher throughput in message processing.

FIFO queues do not require any additional configuration for order processing.

Which AWS service is best suited for processing messages in an order-dependent manner from an API Gateway?

Amazon DynamoDB for storing order information.

AWS Lambda for executing code without maintaining state.

Amazon SQS FIFO queue for maintaining order. (correct)

Amazon SNS for publishing messages.

What is the primary function of the AWS Lambda function in the described order processing setup?

To process orders from the SQS FIFO queue. Signup and view all the answers

Which option is the least effective for ensuring reliable order processing via an API Gateway?

Send messages to an Amazon SQS standard queue. Signup and view all the answers

When configuring an API Gateway to handle orders, which setup minimizes operational overhead?

Utilizing a direct integration between API Gateway and an SQS FIFO queue. Signup and view all the answers

Which option provides the least assurance of processing orders in sequence when using API Gateway?

An Amazon SNS topic sending notifications to multiple subscribers. Signup and view all the answers

What is a potential downside of using API Gateway with an SQS standard queue for order processing?

Order of messages cannot be guaranteed. Signup and view all the answers

Which service allows for direct querying of log files stored in JSON format in S3 without data loading?

Amazon Athena Signup and view all the answers

What is a significant benefit of using Amazon Athena for analyzing log files?

It is a serverless service eliminating infrastructure provisioning. Signup and view all the answers

When working with Athena, what can users avoid by directly querying JSON logs in S3?

Data transformation and loading into a database Signup and view all the answers

How does Amazon Athena minimize operational overhead for users?

It eliminates the need for infrastructure provisioning. Signup and view all the answers

Which of the following best describes the SQL querying capability of Amazon Athena?

It allows standard SQL queries for data analysis. Signup and view all the answers

Why is Amazon Athena considered a low-overhead solution for analyzing logs?

It allows for querying without setting up servers or loading data. Signup and view all the answers

What type of storage does Amazon Athena utilize for querying data?

Amazon S3 Signup and view all the answers

Which process is not required when using Athena to analyze logs in JSON format?

Transforming the data into CSV format. Signup and view all the answers

Which option best maximizes resiliency and scalability for a migrating distributed application to AWS?

Configure an Amazon SQS queue as a destination for jobs and use EC2 instances in an Auto Scaling group based on the size of the queue. Signup and view all the answers

What is the primary benefit of using Amazon Simple Queue Service (SQS) in the given architecture?

It allows for asynchronous messaging, decoupling components of the application. Signup and view all the answers

How should the compute nodes be configured to adapt to changing workloads effectively?

By employing an Auto Scaling group that adjusts based on the queue size. Signup and view all the answers

What role does the Auto Scaling group play in the architecture proposed for the distributed application?

It manages the lifecycle of EC2 instances based on load or schedule. Signup and view all the answers

What is a key factor to consider when deciding between scheduled scaling and dynamic scaling using SQS metrics?

Dynamic scaling reacts to real-time workload changes for immediate adjustments. Signup and view all the answers

Which of the following best describes a suitable destination for job processing in the cloud environment?

Amazon EventBridge for event-driven applications and job processing. Signup and view all the answers

When transitioning to a cloud-based architecture, what is the benefit of using Amazon EC2 instances within an Auto Scaling group?

They allow for cost management based on actual usage rather than fixed capacities. Signup and view all the answers

What is a significant drawback of using a primary server in the proposed distributed application architecture?

It introduces a single point of failure, affecting the overall resiliency. Signup and view all the answers

Study Notes

Amazon Kinesis and Message Processing

Amazon Kinesis Data Analytics can enhance message processing capabilities in consumer applications.
Implementing Kinesis may necessitate architectural changes to the application.
FIFO queues are ideal for ordered message processing, while standard queues allow virtually limitless message volume.

Migrating Distributed Applications to AWS

A company aims to modernize a distributed application by migrating it to AWS.
The legacy architecture involved a primary server coordinating multiple compute nodes.
For resilient and scalable design:
- Option A: Use Amazon SQS with EC2 instances in an Auto Scaling group, leveraging scheduled scaling.
- Option B: Implement SQS with EC2 instances in Auto Scaling, triggered by queue size.
- Option C: Maintain the primary server and nodes with EC2 in Auto Scaling, reliant on server load.
- Option D: Use EC2 instances with EventBridge for job destination handling.

E-commerce Application Order Processing

An e-commerce application sends new order information to an Amazon API Gateway for processing.
Ensuring that order processing follows the exact order of receipt is essential.
Suggested solutions:
- Option A: Utilize API Gateway to publish messages to an SNS topic and subscribe a Lambda function for processing.
- Option B: Implement API Gateway to send messages to an SQS FIFO queue, invoking a Lambda function for order processing.
- Option C: Apply an API Gateway authorizer to manage request blocking during order processing.
- Option D: Send messages to an SQS standard queue via API Gateway, triggering a Lambda function for processing.

Data Analysis with Amazon Athena

Amazon Athena enables querying JSON logs stored in S3 without the need for transformation or additional infrastructure.
This serverless interactive query service uses standard SQL queries directly against S3 data.
Athena provides a low-overhead solution, supporting efficient and uncomplicated data analysis from existing log files.

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Description

This quiz covers the fundamentals of Amazon Kinesis Data Analytics and its architecture. It discusses the configurations needed for processing messages through consumer applications and the differences between FIFO and standard queues. Test your knowledge on Kinesis Data Analytics and its application in data streaming.