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The SAA-C03 Exam consists of 65 multiple-choice and multiple-response questions that you need to complete within 130 minutes. SAA-C03 exam covers a wide range of topics, including AWS architecture, security, networking, storage, compute, and databases. You will be tested on your ability to design and deploy AWS solutions that meet specific requirements, optimize AWS services for cost and performance, and troubleshoot common issues.
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The SAA-C03 exam is designed to validate a candidate's technical expertise in AWS services and their ability to design and deploy scalable and fault-tolerant systems on AWS. Candidates who Pass SAA-C03 Exam will demonstrate their ability to design and deploy robust and scalable systems on AWS, which is highly valued by employers.
Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q454-Q459):
NEW QUESTION # 454
A real-time data analytics application is using AWS Lambda to process data and store results in JSON format to an S3 bucket. To speed up the existing workflow, you have to use a service where you can run sophisticated Big Data analytics on your data without moving them into a separate analytics system.
Which of the following group of services can you use to meet this requirement?
- A. Amazon Glue, Glacier Select, Amazon Redshift
- B. Amazon X-Ray, Amazon Neptune, DynamoDB
- C. S3 Select, Amazon Neptune, DynamoDB DAX
- D. S3 Select, Amazon Athena, Amazon Redshift Spectrum
Answer: D
Explanation:
Amazon S3 allows you to run sophisticated Big Data analytics on your data without moving the data into a separate analytics system. In AWS, there is a suite of tools that make analyzing and processing large amounts of data in the cloud faster, including ways to optimize and integrate existing workflows with Amazon S3:
1. S3 Select
Amazon S3 Select is designed to help analyze and process data within an object in Amazon S3 buckets, faster and cheaper. It works by providing the ability to retrieve a subset of data from an object in Amazon S3 using simple SQL expressions. Your applications no longer have to use compute resources to scan and filter the data from an object, potentially increasing query performance by up to 400%, and reducing query costs as much as 80%. You simply change your application to use SELECT instead of GET to take advantage of S3 Select.
2. Amazon Athena
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL expressions. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries you run. Athena is easy to use. Simply point to your data in Amazon S3, define the schema, and start querying using standard SQL expressions. Most results are delivered within seconds.
With Athena, there's no need for complex ETL jobs to prepare your data for analysis. This makes it easy for anyone with SQL skills to quickly analyze large-scale datasets.
3. Amazon Redshift Spectrum
Amazon Redshift also includes Redshift Spectrum, allowing you to directly run SQL queries against exabytes of unstructured data in Amazon S3. No loading or transformation is required, and you can use open data formats, including Avro, CSV, Grok, ORC, Parquet, RCFile, RegexSerDe, SequenceFile, TextFile, and TSV. Redshift Spectrum automatically scales query compute capacity based on the data being retrieved, so queries against Amazon S3 run fast, regardless of data set size.
Reference:
https://aws.amazon.com/s3/features/#Query_in_Place
Amazon Redshift Overview:
https://youtu.be/jlLERNzhHOg
Check out these AWS Cheat Sheets:
https://tutorialsdojo.com/amazon-s3/
https://tutorialsdojo.com/amazon-athena/
https://tutorialsdojo.com/amazon-redshift/
NEW QUESTION # 455
A company stores confidential data in an Amazon Aurora PostgreSQL database in the ap-southeast-3 Region The database is encrypted with an AWS Key Management Service (AWS KMS) customer managed key The company was recently acquired and must securely share a backup of the database with the acquiring company's AWS account in ap-southeast-3.
What should a solutions architect do to meet these requirements?
- A. Create a database snapshot Copy the snapshot to a new unencrypted snapshot Share the new snapshot with the acquiring company's AWS account
- B. Create a database snapshot that uses a different AWS managed KMS key Add the acquiring company's AWS account to the KMS key alias. Share the snapshot with the acquiring company's AWS account.
- C. Create a database snapshot Download the database snapshot Upload the database snapshot to an Amazon S3 bucket Update the S3 bucket policy to allow access from the acquiring company's AWS account
- D. Create a database snapshot Add the acquiring company's AWS account to the KMS key policy Share the snapshot with the acquiring company's AWS account
Answer: D
Explanation:
https://docs.aws.amazon.com/kms/latest/developerguide/key-policy-modifying-external-accounts.html There's no need to create another custom AWS KMS key. https://aws.amazon.com/premiumsupport/knowledge-center/aurora-share-encrypted-snapshot/ Give target account access to the custom AWS KMS key within the source account 1. Log in to the source account, and go to the AWS KMS console in the same Region as the DB cluster snapshot. 2. Select Customer-managed keys from the navigation pane. 3. Select your custom AWS KMS key (ALREADY CREATED) 4. From the Other AWS accounts section, select Add another AWS account, and then enter the AWS account number of your target account. Then: Copy and share the DB cluster snapshot
NEW QUESTION # 456
An ecommerce company is running a multi-tier application on AWS. The front-end and backend tiers run on Amazon EC2, and the database runs on Amazon RDS for MYSQL. The backend tier communities with the RDS instance. There are frequent calls to return identical database from the database that are causing performance slowdowns.
Which action should be taken to improve the performance of the backend?
- A. Implement Amazon ElasticCache to cache the large database.
- B. Implement Amazon SNS to store the database calls.
- C. Implement Amazon Kinesis Data Firehose to stream the calls to the database.
- D. Implement an RDS for MySQL read replica to cache database calls.
Answer: A
NEW QUESTION # 457
A company experienced a breach that affected several applications in its on-premises data center The attacker took advantage of vulnerabilities in the custom applications that were running on the servers The company is now migrating its applications to run on Amazon EC2 instances The company wants to implement a solution that actively scans for vulnerabilities on the EC2 instances and sends a report that details the findings Which solution will meet these requirements?
- A. Turn on Amazon GuardDuty Deploy the GuardDuty agents to the EC2 instances Configure an AWS Lambda function to automate the generation and distribution of reports that detail the findings
- B. Turn on Amazon Inspector Deploy the Amazon Inspector agent to the EC2 instances Configure an AWS Lambda function to automate the generation and distribution of reports that detail the findings
- C. Deploy Amazon Macie and AWS Lambda functions to scan the EC2 instances for vulnerabilities Log any findings to AWS CloudTrail
- D. Deploy AWS Shield to scan the EC2 instances for vulnerabilities Create an AWS Lambda function to log any findings to AWS CloudTrail.
Answer: B
Explanation:
Explanation
Amazon Inspector:
* Performs active vulnerability scans of EC2 instances. It looks for software vulnerabilities, unintended network accessibility, and other security issues.
* Requires installing an agent on EC2 instances to perform scans. The agent must be deployed to each instance.
* Provides scheduled scan reports detailing any findings of security risks or vulnerabilities. These reports can be used to patch or remediate issues.
* Is best suited for proactively detecting security weaknesses and misconfigurations in your AWS environment.
NEW QUESTION # 458
A solutions architect is designing a REST API in Amazon API Gateway for a cash payback service The application requires 1 GB of memory and 2 GB of storage for its computation resources. The application will require that the data is in a relational format.
Which additional combination of AWS services will meet these requirements with the LEAST administrative effort? {Select TWO.)
- A. Amazon EC2
- B. Amazon RDS
- C. Amazon Elastic Kubernetes Services (Amazon EKS)
- D. AWS Lambda
- E. Amazon DynamoDB
Answer: B,D
Explanation:
AWS Lambda is a service that lets users run code without provisioning or managing servers. It automatically scales and manages the underlying compute resources for the code. It supports multiple languages, such as Java, Python, Node.js, and Go1. By using AWS Lambda for the REST API, the solution can meet the requirements of 1 GB of memory and minimal administrative effort.
Amazon RDS is a service that makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching and backups. It supports multiple database engines, such as MySQL, PostgreSQL, Oracle, and SQL Server2. By using Amazon RDS for the data store, the solution can meet the requirements of 2 GB of storage and a relational format.
1. Amazon EC2. This solution will not meet the requirement of minimal administrative effort, as Amazon EC2 is a service that provides virtual servers in the cloud that users have to configure and manage themselves. It requires users to choose an instance type, an operating system, a security group, and other options3.
2. Amazon DynamoDB. This solution will not meet the requirement of a relational format, as Amazon DynamoDB is a service that provides a key-value and document database that delivers single-digit millisecond performance at any scale. It is a non-relational or NoSQL database that does not support joins or transactions.
3. Amazon Elastic Kubernetes Services (Amazon EKS). This solution will not meet the requirement of minimal administrative effort, as Amazon EKS is a service that provides a fully managed Kubernetes service that users have to configure and manage themselves. It requires users to create clusters, nodes groups, pods, services, and other Kubernetes resources.
Reference URL: https://aws.amazon.com/lambda/
NEW QUESTION # 459
......
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