Free AWS-CERTIFIED-SOLUTIONS-ARCHITECT-ASSOCIATE-SAA-C03 – Amazon AWS-CERTIFIED-SOLUTIONS-ARCHITECT-ASSOCIATE-SAA-C03 Practice Test Question

Reference / correct answer:

Most accepted answer: D. Configure provisioned concurrency for the Lambda functions. Increase the memory according to AWS Compute Optimizer recommendations.

Community votes: A=1, B=5, D=9

Selected Answer: B eserved concurrency — It guarantees the maximum number of concurrent instances for the function which can be invoked. When a function has being with a reserved concurrency configuration then no other lambda function within the same AWS account and region can use that concurrency. There is no charge for configuring reserved concurrency for a function. Provisioned concurrency — This concurrency initializes a requested number of execution environments so that they are prepared to respond immediately to your function’s invocations. Note that configuring provisioned concurrency incurs charges to your AWS account. upvoted 11 times

Selected Answer: D Provisioned concurrency addresses latency concerns and compute optimizer addresses cost. D is best answer here. upvoted 1 times

Selected Answer: B Not a very well written question, but I will go with answer B with this as the deciding factor - The company wants to reduce the compute costs upvoted 1 times

Selected Answer: B • Reserved concurrency – This represents the maximum number of concurrent instances allocated to your function. When a function has reserved concurrency, no other function can use that concurrency. Reserved concurrency is useful for ensuring that your most critical functions always have enough concurrency to handle incoming requests. Configuring reserved concurrency for a function incurs no additional charges. upvoted 1 times

Selected Answer: D for reserved we don't know the incoming traffic as traffic is increasing so we choose provisioned and as it realted to cpu so compute optimizer. upvoted 1 times

Reference / correct answer:

Most accepted answer: C. Instruct the vendor to create a Network Load Balancer (NLB). Place the NLB in front of the Amazon RDS for MySQL database. Use AWS PrivateLink to integrate the company's VPC and the vendor's VPC.

Community votes: A=1, C=7

Pour yourself a cold beer, when you get to this question, its been a very long run upvoted 22 times

Selected Answer: C PrivateLink: AWS PrivateLink enables secure and private access to resources (like RDS) across accounts and VPCs using interface endpoints. It avoids exposing the database to the internet. NLB: A Network Load Balancer acts as the integration point for PrivateLink. The vendor's NLB will route traffic to the RDS database. VPC Without Internet Gateway: PrivateLink works even if the company's VPC does not have an internet gateway because communication occurs over private AWS infrastructure. Option A, B, and D all mention VPC Peering, but it doesn't enable direct access to RDS without additional routing or security configurations. upvoted 4 times

Selected Answer: C AnswerC AWS PrivateLink enables you to connect to some AWS services, services hosted by other AWS accounts (referred to as endpoint services), and supported AWS Marketplace partner services, via private IP addresses in your VPC. The interface endpoints are created directly inside of your VPC, using elastic network interfaces and IP addresses in your VPC’s subnets. That means that VPC Security Groups can be used to manage access to the endpoints. https://docs.aws.amazon.com/whitepapers/latest/aws-vpc-connectivity-options/aws-privatelink.html upvoted 2 times

Selected Answer: C https://aws.amazon.com/blogs/database/access-amazon-rds-across-vpcs-using-aws-privatelink-and-network-load-balancer/ upvoted 2 times

I think i go for C, because if you exclude Dirct connect, VPN and GW so only C is available. but create an NLB zo do not want provision a transit GW sounds weird to me upvoted 1 times

Reference / correct answer:

Most accepted answer: C. Configure AWS Glue DataBrew to transform the data. Share the transformation steps with employees by using DataBrew recipes.

Community votes: C=6

Selected Answer: C A - AWS Glue doesn't focus on data profiling or provide an easy way for non-technical employees to collaborate on transformation steps. B - You need to code. C - AWS Glue DataBrew is a no-code tool specifically designed for data preparation and transformation. D - Let's say writing SQLs are not coding, still, Athena lacks data lineage, data profiling, and the ability to reuse transformations as recipes. upvoted 2 times

Selected Answer: C AWS Glue DataBrew: This is a visual data preparation tool that allows you to clean and normalize data without writing code. It has built-in transformations for common tasks like filtering anomalies, normalizing dates, and generating aggregates. It also provides data lineage and profiling capabilities, which are required by the company. DataBrew Recipes: These are reusable workflows that define the data transformation steps. They can be easily shared with other employees, making it simple to collaborate on data preparation tasks. upvoted 2 times

Selected Answer: C AnswerC AWS Glue DataBrew is a visual data preparation tool that enables users to clean and normalize data without writing any code. Using DataBrew helps reduce the time it takes to prepare data for analytics and machine learning (ML) by up to 80 percent, compared to custom developed data preparation. You can choose from over 250 ready-made transformations to automate data preparation tasks, such as filtering anomalies, converting data to standard formats, and correcting invalid values. https://docs.aws.amazon.com/databrew/latest/dg/what-is.html upvoted 4 times

Selected Answer: C C is correct. https://docs.aws.amazon.com/databrew/latest/dg/recipes.html upvoted 1 times

Selected Answer: C Agree with C upvoted 2 times