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AWS SAA-C02 Updated

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2 hours ago, jolinchew said:

QUESTION NO: 165 A company recently released a new type of internet-connected sensor. The company is expecting lo sell thousands of sensors, which are designed to stream high volumes of data each second to a central location. A solutions architect must design a solution that ingests and stores data so that engineering teams can analyze it in near-real time with millisecond responsiveness. Which solution should the solutions architect recommend?

A. Use an Amazon SQS queue to ingest the data. Consume the data with an AWS Lambda function, which then stores the data in Amazon Redshift. B. Use an Amazon SOS queue to ingest the data. Consume the data with an AWS Lambda function, which then stores the data in Amazon DynamoDB.

C. Use Amazon Kinesis Data Streams to ingest the data. Consume the data with an AWS Lambda function, which then stores the data in Amazon Redshift. D. Use Amazon Kinesis Data Streams to ingest the data. Consume the data with an AWS Lambda function, which then stores the data in Amazon DynamoDB.

Answer: A, why C is not selected, why we can't choose Kinesis

QUESTION NO: 166 A company is migrating a NoSQL database cluster to Amazon EC2. The database automatically replicates data to maintain at least three copies of the data. I/O throughput of the servers is the highest priority. Which instance type should a solutions architect recommend for the migration?

A. Storage optimized instances with instance store B. Burstable general purpose instances with an Amazon Elastic Block Store (Amazon EBS) volume

C. Memory optimized instances with Amazon Elastic Block Store (Amazon EBS) optimization enabled D. Compute optimized instances with Amazon Elastic Block Store (Amazon EBS) optimization enabled Amazon Web Services SAA-C02 Exam Valid | Pass 111

Answer: A why c is not selected, why we can't choose EBS?

This is my understanding

165. Ans should be C

Explanation :Keyword real time data processing : kinesis

                       OLAP : readshift

                        ingesting data with Lambda

 

Edited by thePerfect0

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@Arasu and others

I have tried to PM you but the forum tells me I cannot send PMs. Please let me know when you certify on associate level, we can move forward to professional level by doing the same we did here, sharing the dump and correcting it together.

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13 hours ago, jolinchew said:

Regarding 165, I feel D is also hard to eliminate, should we choose Dynomo DB or Redshift in this case?

D. Use Amazon Kinesis Data Streams to ingest the data.

Consume the data with an AWS Lambda function, which then stores the data in Amazon DynamoDB

now Question 233,

QUESTION 233

A company hosts its website on AWS. To address the highly variable demand, the company has implemented Amazon

EC2 Auto Scaling.

Management is concerned that the company is over- provisioning its infrastructure, especially at the front end of the

three-tier application.

A solutions architect needs to ensure costs are optimized without impacting performance.

What should the solutions architect do to accomplish this?

A. Use Auto Scaling with Reserved Instances.

B. Use Auto Scaling with a scheduled scaling policy.

C. Use Auto Scaling with the suspend-resume feature

D. Use Auto Scaling with a target tracking scaling policy.

answer is C, why B or D is not selected?

233. Question doesn't seems to elaborate on timeline of extra load or specific target load which exceeds the current threshold 

Being that said, B & D wouldn't be perfect 

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20 hours ago, jolinchew said:

Hi, thanks for your idea.

QUESTION NO: 312 A company has data stored in an on-premises data center that is used by several on-premisesapplications. The company wants to maintain its existing application environment and be able touse AWS services for data analytics and future visualizations.Which storage service should a solutions architect recommend?

A. Amazon Redshift B. AWS Storage Gateway for files C. Amazon Elastic Block Store (Amazon EBS) D. Amazon Elastic File System (Amazon EFS)

Answer: B, why A is wrong

QUESTION NO: 310 A company runs an online marketplace web application on AWS. The application serves hundredsof thousands of users during peak hours. The company needs a scalable, near-real-time solutionto share the details of millions of financial transactions with several other internal applications.Transactions also need to be processed to remove sensitive data before being stored in adocument database for low-latency retrieval.What should a solutions architect recommend to meet these requirements?

A. Store the transactions data into Amazon DynamoDB. Set up a rule in DynamoDB to removesensitive data from every transaction upon write. Use DynamoDB Streams to share thetransactions data with other applications.

B. Stream the transactions data into Amazon Kinesis Data Firehose to store data in AmazonDynamoDB and Amazon S3. Use AWS Lambda integration with Kinesis Data Firehose to removesensitive data. Other applications can consume the data stored in Amazon S3.

C. Stream the transactions data into Amazon Kinesis Data Streams. Use AWS Lambda integrationto remove sensitive data from every transaction and then store the transactions data in AmazonDynamoDB. Other applications can consume the transactions data off the Kinesis data stream.

D. Store the batched transactions data in Amazon S3 as files. Use AWS Lambda to process everyfile and remove sensitive data before updating the files in Amazon S3. The Lambda function thenstores the data in Amazon DynamoDB. Other applications can consume transaction files stored inAmazon S3.

Answer: A why C is wrong

QUESTION NO: 306 A company is experiencing growth as demand for its product has increased The company'sexisting purchasing application is slow when traffic spikes The application is a monolithic three tierapplication that uses synchronous transactions and sometimes sees bottlenecks in the applicationtier A solutions architect needs to design a solution that can meet required application responsetimes while accounting for traffic volume spikes.Which solution will meet these requirements?

A. Vertically scale the application instance using a larger Amazon EC2 instance size.

B. Scale the application's persistence layer horizontally by introducing Oracle RAC on AWS

C. Scale the web and application tiers horizontally using Auto Scaling groups and an ApplicationLoad Balancer

D. Decouple the application and data tiers using Amazon Simple Queue Service (Amazon SQS)with asynchronous AWS Lambda calls.

Answer: A why C is wrong?

For 312, Company will have some storage at on-premises as well. So gateway will be the right solution
For 310, kinesis is useful where you receive thousands of messages in real time and want to process and use case is slightly different. Such as IOT etc

For 306, monolithic is the keyword in the question so it can't be scaled horizonatally

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Hi, 

how do we identify what are the IAM policies applied directly to the users, through cloudtrail or config rule?

did ECS with Fargate support open-source software?

compared with AWS secret manager, AWS parameter store more secure, less programming effort ?

can Redshift provide millisecond responsiveness? can DynomoDB without Direct connect provide millisecond responsiveness?

 

Edited by jolinchew

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How many questions are covered/corrected in this dump so far??

I thankfully got a copy from here, but couldn't find time to study..

My current copy is L2P.pdf 02-08-2020 updated and has total of 301 questions.

Is there an update to this dump? if so, can any of you share it??

 

Thanks so much!

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