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Amazon SAA-C03 certification exam is a highly valued credential for IT professionals who want to demonstrate their expertise in designing and deploying scalable, secure, and highly available systems on the AWS platform. Candidates who pass the exam can demonstrate their knowledge of AWS core services, security, networking, storage, databases, and AWS architecture best practices, which are highly valued by employers. AWS Certified Solutions Architect - Associate certification is ideal for IT professionals who want to advance their career in cloud computing and work with AWS.
The SAA-C03 Certification Exam is a multiple-choice exam that consists of 65 questions. Candidates have 130 minutes to complete the exam. SAA-C03 exam covers a range of topics including AWS services, architecture, and best practices. Candidates are required to demonstrate their knowledge of AWS services and their ability to design and deploy scalable, highly available, and fault-tolerant systems on AWS.
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Earning the Amazon AWS Certified Solutions Architect - Associate certification can open up new career opportunities and increase your earning potential. AWS Certified Solutions Architect - Associate certification demonstrates to employers that you have the skills and knowledge needed to design and deploy scalable and highly available systems on the AWS platform. It also shows that you are committed to staying up-to-date with the latest cloud computing technologies and best practices.
NEW QUESTION # 622
A company needs to connect its on-premises data center network to a new VPC. The data center network has a 100 Mbps symmetrical internet connection. An application that is running on premises will transfer multiple gigabytes of data each day. The application will use an Amazon Data Firehose delivery stream for processing.
What should a solutions architect recommend for maximum performance?
Answer: A
Explanation:
AWS Direct Connect provides a dedicated network connection from on-premises to AWS, offering greater bandwidth and more consistent performance than internet-based connections or VPN. AWS PrivateLink enables secure, private connectivity to supported AWS services such as Kinesis Data Firehose over Direct Connect, bypassing the public internet and providing the highest throughput and lowest latency possible. This is the recommended solution for consistently transferring large volumes of data with maximum reliability and performance.
Reference Extract from AWS Documentation / Study Guide:
"AWS Direct Connect and AWS PrivateLink provide private, high-throughput connectivity between on- premises and AWS services, bypassing the public internet and ensuring maximum performance for large data transfers." Source: AWS Certified Solutions Architect - Official Study Guide, Hybrid Networking section.
NEW QUESTION # 623
A company collects data from a large number of participants who use wearabledevices.The company stores the data in an Amazon DynamoDB table and uses applications to analyze the data. The data workload is constant and predictable. The company wants to stay at or below its forecasted budget for DynamoDB.
Whihc solution will meet these requirements MOST cost-effectively?
Answer: D
Explanation:
This option is the most efficient because it uses provisioned mode, which is a read/write capacity mode for processing reads and writes on your tables that lets you specify how much read and write throughput you expect your application to perform1. It also specifies the read capacity units (RCUs) and write capacity units (WCUs), which are the amount of data your application needs to read or write per second. It also meets the requirement of staying at or below its forecasted budget for DynamoDB, as provisioned mode has lower costs than on-demand mode for predictable workloads. This solution meets the requirement of collecting data from a large number of participants who use wearable devices with a constant and predictable data workload. Option A is less efficient because it uses provisioned mode and DynamoDB Standard-Infrequent Access (DynamoDB Standard-IA), which is a storage class for infrequently accessed items that require milliseconds latency2.
However, this does not meet the requirement of collecting data from a large number of participants who use wearable devices with a constant and predictable data workload, as DynamoDB Standard-IA is more suitable for items that are accessed less frequently than once every 30 days. Option C is less efficient because it uses on-demand mode, which is a read/write capacity mode that lets you pay only for what you use by automatically adjusting your table's capacity in response to changing demand3. However, this does not meet the requirement of staying at or below its forecasted budget for DynamoDB, as on-demand mode has higher costs than provisioned mode for predictable workloads. Option D is less efficient because it uses on-demand mode and specifies the RCUs and WCUs with reserved capacity, which is a way to reserve read and write capacity for your tables in exchange for discounted hourly rates. However, this does not meet the requirement of staying at or below its forecasted budget for DynamoDB, as on-demand mode has higher costs than provisioned mode for predictable workloads. Also, specifying RCUs and WCUs with reserved capacity is not possible with on-demand mode, as it only applies to provisioned mode.
NEW QUESTION # 624
[Design High-Performing Architectures]
A company is hosting a high-traffic static website on Amazon S3 with an Amazon CloudFront distribution that has a default TTL of 0 seconds The company wants to implement caching to improve performance for the website However, the company also wants to ensure that stale content Is not served for more than a few minutes after a deployment Which combination of caching methods should a solutions architect implement to meet these requirements? (Select TWO.)
Answer: C,E
Explanation:
Understanding the Requirement: The company wants to improve caching to enhance website performance while ensuring that stale content is not served for more than a few minutes after a deployment.
Analysis of Options:
Set CloudFront TTL: Setting a short TTL (e.g., 2 minutes) ensures that cached content is refreshed frequently, reducing the risk of serving stale content.
S3 Bucket TTL: This would not control the cache duration for the CloudFront distribution.
Cache-Control Private: This directive is for controlling caching by private caches (e.g., browsers) and is not applicable for CloudFront.
Lambda@Edge: While this can add headers dynamically, it adds complexity and operational overhead.
Cache-Control max-age and CloudFront Invalidation: Setting a longer max-age for objects ensures they are cached longer, reducing load on the origin. Invalidation ensures that updated content is refreshed immediately after deployment.
Best Combination of Caching Methods:
Set the CloudFront default TTL to 2 minutes: This balances caching and freshness of content.
Add a Cache-Control max-age directive of 24 hours and use CloudFront invalidation: This ensures efficient caching while providing a mechanism to clear outdated content immediately after a deployment.
Reference:
Amazon CloudFront Caching
Invalidating Files in CloudFront
NEW QUESTION # 625
A company stores data in Amazon S3. According to regulations, the data must not contain personally identifiable information (PII). The company recently discovered that S3 buckets have some objects that contain PII. The company needs to automatically detect PII in S3 buckets and to notify the company's security team. Which solution will meet these requirements?
Answer: A
Explanation:
Amazon Macie: Detects sensitive data such as PII in S3 buckets using machine learning.
* EventBridge Rule: Filters Macie findings for specific sensitive data events (e.g., SensitiveData).
* SNS Notification: Provides real-time alerts to the security team for immediate action.
: Amazon Macie Documentation, Amazon EventBridge Documentation
NEW QUESTION # 626
[Design High-Performing Architectures]
A company is building a shopping application on AWS. The application offers a catalog that changes once each month and needs to scale with traffic volume. The company wants the lowest possible latency from the application. Data from each user's shopping carl needs to be highly available. User session data must be available even if the user is disconnected and reconnects.
What should a solutions architect do to ensure that the shopping cart data is preserved at all times?
Answer: C
Explanation:
To ensure that the shopping cart data is preserved at all times, a solutions architect should configure Amazon ElastiCache for Redis to cache catalog data from Amazon DynamoDB and shopping cart data from the user's session. This solution has the following benefits:
It offers the lowest possible latency from the application, as ElastiCache for Redis is a blazing fast in-memory data store that provides sub-millisecond latency to power internet-scale real-time applications1.
It scales with traffic volume, as ElastiCache for Redis supports horizontal scaling by adding more nodes or shards to the cluster, and vertical scaling by changing the node type2.
It ishighly available, as ElastiCache for Redis supports replication across multiple Availability Zones and automatic failover in case of a primary node failure3.
It preserves user session data even if the user is disconnected and reconnects, as ElastiCache for Redis can store session data, such as user login information and shopping cart contents, in a persistent and durable manner using snapshots or AOF (append-only file) persistence4.
Reference:
1: https://aws.amazon.com/elasticache/redis/
2: https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/Scaling.html
3: https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/Replication.html
4: https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/backups.html
NEW QUESTION # 627
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