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Amazon SAA-C03 Exam Syllabus Topics:

Topic	Details
Topic 1	Database engines with appropriate use cases Determine high-performing database solutions
Topic 2	Storage types with associated characteristics Design scalable and loosely coupled architectures
Topic 3	Design cost-optimized compute solutions Design Cost-Optimized Architectures
Topic 4	The AWS shared responsibility model Access controls and management across multiple accounts
Topic 5	Design Resilient Architectures Design high-performing and elastic compute solutions
Topic 6	Design cost-optimized database solutions Design cost-optimized storage solutions
Topic 7	Design secure access to AWS resources Design Secure Architectures
Topic 8	Distributed computing concepts supported by AWS global infrastructure and edge services Serverless technologies and patterns

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q230-Q235):

NEW QUESTION # 230
A company collects temperature, humidity, and atmospheric pressure data in cities across multiple continents.
The average volume of data collected per site each day is 500 GB. Each site has a high-speed internet connection. The company's weather forecasting applications are based in a single Region and analyze the data daily.
What is the FASTEST way to aggregate data from all of these global sites?

• A. Upload site data to an Amazon S3 bucket in the closest AWS Region. Use S3 cross-Region replication to copy objects to the destination bucket.
• B. Schedule AWS Snowball jobs daily to transfer data to the closest AWS Region. Use S3 cross-Region replication to copy objects to the destination bucket.
• C. Upload the data to an Amazon EC2 instance in the closest Region. Store the data in an Amazon Elastic Block Store (Amazon EBS) volume. Once a day take an EBS snapshot and copy it to the centralized Region. Restore the EBS volume in the centralized Region and run an analysis on the data daily.
• D. Enable Amazon S3 Transfer Acceleration on the destination bucket. Use multipart uploads to directly upload site data to the destination bucket.

Answer: D Explanation:
Explanation
You might want to use Transfer Acceleration on a bucket for various reasons, including the following:
You have customers that upload to a centralized bucket from all over the world.
You transfer gigabytes to terabytes of data on a regular basis across continents.
You are unable to utilize all of your available bandwidth over the Internet when uploading to Amazon S3.
https://docs.aws.amazon.com/AmazonS3/latest/dev/transfer-acceleration.html
https://aws.amazon.com/s3/transfer-acceleration/#:~:text=S3%20Transfer%20Acceleration%20(S3TA)%20reduc
"Amazon S3 Transfer Acceleration can speed up content transfers to and from Amazon S3 by as much as
50-500% for long-distance transfer of larger objects. Customers who have either web or mobile applications with widespread users or applications hosted far away from their S3 bucket can experience long and variable upload and download speeds over the Internet"
https://docs.aws.amazon.com/AmazonS3/latest/userguide/mpuoverview.html
"Improved throughput - You can upload parts in parallel to improve throughput."
NEW QUESTION # 231
A security team wants to limit access to specific services or actions in all of the team's AWS accounts. All accounts belong to a large organization in AWS Organizations. The solution must be scalable and there must be a single point where permissions can be maintained.
What should a solutions architect do to accomplish this?

• A. Create an ACL to provide access to the services or actions.
• B. Create a service control policy in the root organizational unit to deny access to the services or actions.
• C. Create cross-account roles in each account to deny access to the services or actions.
• D. Create a security group to allow accounts and attach it to user groups.

Answer: B Explanation:
Explanation
Service control policies (SCPs) are one type of policy that you can use to manage your organization. SCPs offer central control over the maximum available permissions for all accounts in your organization, allowing you to ensure your accounts stay within your organization's access control guidelines. See
https://docs.aws.amazon.com/organizations/latest/userguide/orgsmanagepolicies_scp.html.
NEW QUESTION # 232
A company has a cryptocurrency exchange portal that is hosted in an Auto Scaling group of EC2 instances behind an Application Load Balancer and is deployed across multiple AWS regions. The users can be found all around the globe, but the majority are from Japan and Sweden. Because of the compliance requirements in these two locations, you want the Japanese users to connect to the servers in the ap-northeast-1 Asia Pacific (Tokyo) region, while the Swedish users should be connected to the servers in the eu-west-1 EU (Ireland) region.
Which of the following services would allow you to easily fulfill this requirement?

• A. Use Route 53 Weighted Routing policy.
• B. Set up an Application Load Balancers that will automatically route the traffic to the proper AWS region.
• C. Use Route 53 Geolocation Routing policy.
• D. Set up a new CloudFront web distribution with the geo-restriction feature enabled.

Answer: C Explanation:
Geolocation routing lets you choose the resources that serve your traffic based on the geographic location of your users, meaning the location that DNS queries originate from. For example, you might want all queries from Europe to be routed to an ELB load balancer in the Frankfurt region.
When you use geolocation routing, you can localize your content and present some or all of your website in the language of your users. You can also use geolocation routing to restrict distribution of content to only the locations in which you have distribution rights. Another possible use is for balancing load across endpoints in a predictable, easy-to-manage way, so that each user location is consistently routed to the same endpoint.

Setting up an Application Load Balancers that will automatically route the traffic to the proper AWS region is incorrect because Elastic Load Balancers distribute traffic among EC2 instances across multiple Availability Zones but not across AWS regions.
Setting up a new CloudFront web distribution with the geo-restriction feature enabled is incorrect because the CloudFront geo-restriction feature is primarily used to prevent users in specific geographic locations from accessing content that you're distributing through a CloudFront web distribution. It does not let you choose the resources that serve your traffic based on the geographic location of your users, unlike the Geolocation routing policy in Route 53.
Using Route 53 Weighted Routing policy is incorrect because this is not a suitable solution to meet the requirements of this scenario. It just lets you associate multiple resources with a single domain name (tutorialsdojo.com) or subdomain name (forums.tutorialsdojo.com) and choose how much traffic is routed to each resource. You have to use a Geolocation routing policy instead. References:
https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/routing-policy.html
https://aws.amazon.com/premiumsupport/knowledge-center/geolocation-routing-policy Check out this Amazon Route 53 Cheat Sheet:
https://tutorialsdojo.com/amazon-route-53/
Latency Routing vs Geoproximity Routing vs Geolocation Routing: https://tutorialsdojo.com/latency- routing-vs-geoproximity-routing-vs-geolocation-routing/ Comparison of AWS Services Cheat Sheets:
https://tutorialsdojo.com/comparison-of-aws-services/
NEW QUESTION # 233
A leading media company has recently adopted a hybrid cloud architecture which requires them to migrate their application servers and databases in AWS. One of their applications requires a heterogeneous database migration in which you need to transform your on-premises Oracle database to PostgreSQL in AWS. This entails a schema and code transformation before the proper data migration starts.
Which of the following options is the most suitable approach to migrate the database in AWS?

• A. First, use the AWS Schema Conversion Tool to convert the source schema and application code to match that of the target database, and then use the AWS Database Migration Service to migrate data from the source database to the target database.
• B. Use Amazon Neptune to convert the source schema and code to match that of the target database in RDS. Use the AWS Batch to effectively migrate the data from the source database to the target database in a batch process.
• C. Configure a Launch Template that automatically converts the source schema and code to match that of the target database. Then, use the AWS Database Migration Service to migrate data from the source database to the target database.
• D. Heterogeneous database migration is not supported in AWS. You have to transform your database first to PostgreSQL and then migrate it to RDS.

Answer: A Explanation:
AWS Database Migration Service helps you migrate databases to AWS quickly and securely. The source database remains fully operational during the migration, minimizing downtime to applications that rely on the database. The AWS Database Migration Service can migrate your data to and from most widely used commercial and open-source databases.
AWS Database Migration Service can migrate your data to and from most of the widely used commercial and open source databases. It supports homogeneous migrations such as Oracle to Oracle, as well as heterogeneous migrations between different database platforms, such as Oracle to Amazon Aurora.
Migrations can be from on-premises databases to Amazon RDS or Amazon EC2, databases running on EC2 to RDS, or vice versa, as well as from one RDS database to another RDS database. It can also move data between SQL, NoSQL, and text based targets.
In heterogeneous database migrations the source and target databases engines are different, like in the case of Oracle to Amazon Aurora, Oracle to PostgreSQL, or Microsoft SQL Server to MySQL migrations.
In this case, the schema structure, data types, and database code of source and target databases can be quite different, requiring a schema and code transformation before the data migration starts. That makes heterogeneous migrations a two step process. First use the AWS Schema Conversion Tool to convert the source schema and code to match that of the target database, and then use the AWS Database Migration Service to migrate data from the source database to the target database. All the required data type conversions will automatically be done by the AWS Database Migration Service during the migration. The source database can be located in your own premises outside of AWS, running on an Amazon EC2 instance, or it can be an Amazon RDS database. The target can be a database in Amazon EC2 or Amazon RDS.
The option that says: Configure a Launch Template that automatically converts the source schema and code to match that of the target database. Then, use the AWS Database Migration Service to migrate data from the source database to the target database is incorrect because Launch templates are primarily used in EC2 to enable you to store launch parameters so that you do not have to specify them every time you launch an instance.
The option that says: Use Amazon Neptune to convert the source schema and code to match that of the target database in RDS. Use the AWS Batch to effectively migrate the data from the source database to the target database in a batch process is incorrect because Amazon Neptune is a fully-managed graph database service and not a suitable service to use to convert the source schema. AWS Batch is not a database migration service and hence, it is not suitable to be used in this scenario. You should use the AWS Schema Conversion Tool and AWS Database Migration Service instead.
The option that says: Heterogeneous database migration is not supported in AWS. You have to transform your database first to PostgreSQL and then migrate it to RDS is incorrect because heterogeneous database migration is supported in AWS using the Database Migration Service.
References:
https://aws.amazon.com/dms/
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-launch-templates.html
https://aws.amazon.com/batch/
Check out this AWS Database Migration Service Cheat Sheet: https://tutorialsdojo.com/aws-database- migration-service/ AWS Migration Services Overview: https://www.youtube.com/watch?v=yqNBkFMnsL8
NEW QUESTION # 234
A company wants to use high performance computing (HPC) infrastructure on AWS for financial risk modeling. The company's HPC workloads run on Linux. Each HPC workflow runs on hundreds of Amazon EC2 Spot Instances, is shorl-lived, and generates thousands of output files that are ultimately stored in persistent storage for analytics and long-term future use.
The company seeks a cloud storage solution that permits the copying of on-premises data to long-term persistent storage to make data available for processing by all EC2 instances. The solution should also be a high performance file system that is integrated with persistent storage to read and write datasets and output files.
Which combination of AWS services meets these requirements?

• A. Amazon FSx for Lustre integrated with Amazon S3
• B. Amazon FSx for Windows File Server integrated with Amazon S3
• C. Amazon S3 Glacier integrated with Amazon Elastic Block Store (Amazon EBS)
• D. Amazon S3 bucket with a VPC endpoint integrated with an Amazon Elastic Block Store (Amazon EBS) General Purpose SSD (gp2) volume

Answer: A Explanation:
https://aws.amazon.com/fsx/lustre/
Amazon FSx for Lustre is a fully managed service that provides cost-effective, high-performance, scalable storage for compute workloads. Many workloads such as machine learning, high performance computing (HPC), video rendering, and financial simulations depend on compute instances accessing the same set of data through high-performance shared storage.
NEW QUESTION # 235
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