AMAZON CERTIFICATION SAA-C03 EXAM TRAINING PROGRAMS

Amazon certification SAA-C03 exam training programs

Amazon certification SAA-C03 exam training programs

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The SAA-C03 Exam covers a wide range of topics, including AWS core services, security, networking, storage, databases, and AWS architecture best practices. Candidates must have a strong understanding of AWS services, such as Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Relational Database Service (RDS), and Amazon Virtual Private Cloud (VPC), as well as the ability to design and deploy highly available and fault-tolerant systems on the AWS platform.

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q584-Q589):

NEW QUESTION # 584
A company wants to run a gaming application on Amazon EC2 instances that are part of an Auto Scaling group in the AWS Cloud. The application will transmit data by using UDP packets. The company wants to ensure that the application can scale out and in as traffic increases and decreases.
What should a solutions architect do to meet these requirements?

  • A. Deploy an Amazon Route 53 record set with a weighted policy to route traffic appropriately
  • B. Deploy a NAT instance that is configured with port forwarding to the EC2 instances in the Auto Scaling group.
  • C. Attach a Network Load Balancer to the Auto Scaling group
  • D. Attach an Application Load Balancer to the Auto Scaling group.

Answer: C

Explanation:
This solution meets the requirements of running a gaming application that transmits data by using UDP packets and scaling out and in as traffic increases and decreases. A Network Load Balancer can handle millions of requests per second while maintaining high throughput at ultra low latency, and it supports both TCP and UDP protocols. An Auto Scaling group can automatically adjust the number of EC2 instances based on the demand and the scaling policies.
Option B is incorrect because an Application Load Balancer does not support UDP protocol, only HTTP and HTTPS. Option C is incorrect because Amazon Route 53 is a DNS service that can route traffic based on different policies, but it does not provide load balancing or scaling capabilities. Option D is incorrect because a NAT instance is used to enable instances in a private subnet to connect to the internet or other AWS services, but it does not provide load balancing or scaling capabilities.
Reference:
https://aws.amazon.com/blogs/aws/new-udp-load-balancing-for-network-load-balancer/
https://docs.aws.amazon.com/autoscaling/ec2/userguide/AutoScalingGroup.html


NEW QUESTION # 585
A software development company is using serverless computing with AWS Lambda to build and run applications without having to set up or manage servers. They have a Lambda function that connects to a MongoDB Atlas, which is a popular Database as a Service (DBaaS) platform and also uses a third party API to fetch certain data for their application. One of the developers was instructed to create the environment variables for the MongoDB database hostname, username, and password as well as the API credentials that will be used by the Lambda function for DEV, SIT, UAT, and PROD environments.
Considering that the Lambda function is storing sensitive database and API credentials, how can this information be secured to prevent other developers in the team, or anyone, from seeing these credentials in plain text? Select the best option that provides maximum security.

  • A. AWS Lambda does not provide encryption for the environment variables. Deploy your code to an EC2 instance instead.
  • B. Enable SSL encryption that leverages on AWS CloudHSM to store and encrypt the sensitive information.
  • C. Create a new KMS key and use it to enable encryption helpers that leverage on AWS Key Management Service to store and encrypt the sensitive information.
  • D. There is no need to do anything because, by default, AWS Lambda already encrypts the environment variables using the AWS Key Management Service.

Answer: C

Explanation:
When you create or update Lambda functions that use environment variables, AWS Lambda encrypts them using the AWS Key Management Service. When your Lambda function is invoked, those values are decrypted and made available to the Lambda code.
The first time you create or update Lambda functions that use environment variables in a region, a default service key is created for you automatically within AWS KMS. This key is used to encrypt environment variables. However, if you wish to use encryption helpers and use KMS to encrypt environment variables after your Lambda function is created, you must create your own AWS KMS key and choose it instead of the default key. The default key will give errors when chosen. Creating your own key gives you more flexibility, including the ability to create, rotate, disable, and define access controls, and to audit the encryption keys used to protect your data.


The option that says: There is no need to do anything because, by default, AWS Lambda already encrypts the environment variables using the AWS Key Management Service is incorrect. Although Lambda encrypts the environment variables in your function by default, the sensitive information would still be visible to other users who have access to the Lambda console. This is because Lambda uses a default KMS key to encrypt the variables, which is usually accessible by other users. The best option in this scenario is to use encryption helpers to secure your environment variables.
The option that says: Enable SSL encryption that leverages on AWS CloudHSM to store and encrypt the sensitive information is also incorrect since enabling SSL would encrypt data only when in-transit. Your other teams would still be able to view the plaintext at-rest. Use AWS KMS instead.
The option that says: AWS Lambda does not provide encryption for the environment variables. Deploy your code to an EC2 instance instead is incorrect since, as mentioned, Lambda does provide encryption functionality of environment variables.
References:
https://docs.aws.amazon.com/lambda/latest/dg/env_variables.html#env_encrypt
https://docs.aws.amazon.com/lambda/latest/dg/tutorial-env_console.html Check out this AWS Lambda Cheat Sheet: https://tutorialsdojo.com/aws-lambda/ AWS Lambda Overview - Serverless Computing in AWS:
https://youtu.be/bPVX1zHwAnY


NEW QUESTION # 586
A gaming company hosts a browser-based application on AWS. The users of the application consume a large number of videos and images that are stored in Amazon S3. This content is the same for all users.
The application has increased in popularity, and millions of users worldwide are accessing these media files.
The company wants to provide the files to the users while reducing the load on the origin.
Which solution meets these requirements MOST cost-effectively?

  • A. Deploy an AWS Global Accelerator accelerator in front of the web servers.
  • B. Deploy an Amazon CloudFront web distribution in front of the S3 bucket.
  • C. Deploy an Amazon ElastiCache for Redis instance in front of the web servers.
  • D. Deploy an Amazon ElastiCache for Memcached instance in front of the web servers.

Answer: B

Explanation:
Explanation
ElastiCache, enhances the performance of web applications by quickly retrieving information from fully-managed in-memory data stores. It utilizes Memcached and Redis, and manages to considerably reduce the time your applications would, otherwise, take to read data from disk-based databases. Amazon CloudFront supports dynamic content from HTTP and WebSocket protocols, which are based on the Transmission Control Protocol (TCP) protocol. Common use cases include dynamic API calls, web pages and web applications, as well as an application's static files such as audio and images. It also supports on-demand media streaming over HTTP. AWS Global Accelerator supports both User Datagram Protocol (UDP) and TCP-based protocols. It is commonly used for non-HTTP use cases, such as gaming, IoT and voice over IP. It is also good for HTTP use cases that need static IP addresses or fast regional failover


NEW QUESTION # 587
A company wants to implement a backup strategy for Amazon EC2 data and multiple Amazon S3 buckets.
Because of regulatory requirements, the company must retain backup files for a specific time period. The company must not alter the files for the duration of the retention period.
Which solution will meet these requirements?

  • A. Use Amazon Data Lifecycle Manager to create the required automated snapshot policy.
  • B. Use AWS Backup to create a backup vault that has a vault lock in governance mode. Create the required backup plan.
  • C. Use Amazon S3 File Gateway to create the backup. Configure the appropriate S3 Lifecycle management.
  • D. Use AWS Backup to create a backup vault that has a vault lock in compliance mode. Create the required backup plan.

Answer: D

Explanation:
AWS Backup is a fully managed service that allows you to centralize and automate data protection of AWS services across compute, storage, and database. AWS Backup Vault Lock is an optional feature of a backup vault that can help you enhance the security and control over your backup vaults. When a lock is active in Compliance mode and the grace time is over, the vault configuration cannot be altered or deleted by a customer, account/data owner, or AWS. This ensures that your backups are available for you until they reach the expiration of their retention periods and meet the regulatory requirements. References: https://docs.aws.
amazon.com/aws-backup/latest/devguide/vault-lock.html


NEW QUESTION # 588
A company wants to share accounting data with an external auditor. The data is stored in an Amazon RDS DB instance that resides in a private subnet. The auditor has its own AWS account and requires its own copy of the database.
What is the MOST secure way for the company to share the database with the auditor?

  • A. Copy a snapshot of the database to an Amazon S3 bucket. Create an IAM user. Share the user's keys with the auditor to grant access to the object in the $3 bucket.
  • B. Create a read replica of the database. Configure IAM standard database authentication to grant the auditor access.
  • C. Create an encrypted snapshot of the database. Share the snapshot with the auditor. Allow access to the AWS Key Management Service (AWS KMS) encryption key.
  • D. Export the database contents to text files. Store the files in an Amazon S3 bucket. Create a new IAM user for the auditor. Grant the user access to the S3 bucket.

Answer: C

Explanation:
This answer is correct because it meets the requirements of sharing the database with the auditor in a secure way. You can create an encrypted snapshot of the database by using AWS Key Management Service (AWS KMS) to encrypt the snapshot with a customer managed key. You can share the snapshot with the auditor by modifying the permissions of the snapshot and specifying the AWS account ID of the auditor. You can also allow access to the AWS KMS encryption key by adding a key policy statement that grants permissions to the auditor's account. This way, you can ensure that only the auditor can access and restore the snapshot in their own AWS account.
Reference:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ShareSnapshot.html
https://docs.aws.amazon.com/kms/latest/developerguide/key-policies.html#key-policy-default-allow-root-enable-iam


NEW QUESTION # 589
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