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| Certification Vendor: | Amazon Web Services (AWS) |
|---|---|
| Exam Name: | AWS Certified Solutions Architect - Associate |
| Exam Number: | SAA-C03 |
| Related Certifications: | AWS Certified Solutions Architect - Professional |
| Exam Duration: | 130 minutes |
| Available Languages: | Simplified Chinese, Korean, English, Japanese |
| Exam Format: | Multiple Choice, Multiple Response |
| Exam Price: | $150 USD |
| Real Exam Qty: | 65 |
| Passing Score: | 720 / 1000 |
| Certificate Validity Period: | 3 years |
| Sample Questions: | Amazon SAA-C03 Sample Questions |
| Exam Way: | Online (Pearson VUE or PSI) or Test Center |
| Pre Condition: | No mandatory prerequisites. AWS recommends at least 1 year of hands-on experience designing distributed systems on AWS. |
| Official Syllabus URL: | https://aws.amazon.com/certification/certified-solutions-architect-associate/ |
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The SAA-C03 Exam consists of multiple-choice and multiple-response questions, and it covers a range of topics related to AWS services, including compute, storage, database, networking, security, and AWS cost management. SAA-C03 exam is intended for individuals who have at least one year of hands-on experience designing and deploying scalable, highly available, and fault-tolerant systems on AWS. AWS Certified Solutions Architect - Associate certification is highly valued by organizations that use AWS as their cloud platform and by professionals who want to advance their careers in the field of cloud computing.
NEW QUESTION # 290
A company plans to launch an application that tracks the GPS coordinates of delivery trucks in the country. The coordinates are transmitted from each delivery truck every five seconds. You need to design an architecture that will enable real-time processing of these coordinates from multiple consumers. The aggregated data will be analyzed in a separate reporting application.
Which AWS service should you use for this scenario?
Answer: C
Explanation:
Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. It offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application.
With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and responds instantly instead of having to wait until all your data are collected before the processing can begin.
Reference:
https://aws.amazon.com/kinesis/
Check out this Amazon Kinesis Cheat Sheet:
https://tutorialsdojo.com/amazon-kinesis/
NEW QUESTION # 291
A company's HTTP application is behind a Network Load Balancer (NLB). The NLB's target group is configured to use an Amazon EC2 Auto Scaling group with multiple EC2 instances that run the web service.
The company notices that the NLB is not detecting HTTP errors for the application. These errors require a manual restart of the EC2 instances that run the web service. The company needs to improve the application's availability without writing custom scripts or code.
What should a solutions architect do to meet these requirements?
Answer: C
Explanation:
Application availability: NLB cannot assure the availability of the application. This is because it bases its decisions solely on network and TCP-layer variables and has no awareness of the application at all. Generally, NLB determines availability based on the ability of a server to respond to ICMP ping or to correctly complete the three-way TCP handshake. ALB goes much deeper and is capable of determining availability based on not only a successful HTTP GET of a particular page but also the verification that the content is as was expected based on the input parameters.
NEW QUESTION # 292
A company is designing a website that displays stock market prices to users. The company wants to use Amazon ElastiCache (Redis OSS) for the data caching layer. The company needs to ensure that the website's data caching layer can automatically fail over to another node if necessary.
Answer: B
Explanation:
For high availability, Amazon ElastiCache for Redis supports Multi-AZ with automatic failover, which provides primary and replica nodes in different Availability Zones. If the primary node fails, Redis automatically promotes a replica to primary.
From AWS Documentation:
"When you enable Multi-AZ with automatic failover, Amazon ElastiCache automatically detects failures and promotes a read replica to primary with minimal downtime." (Source: Amazon ElastiCache for Redis User Guide) Why B is correct:
* Multi-AZ provides automatic failover and data replication.
* Ensures continuous availability and protects against node or AZ failures.
* Fully managed with no manual intervention needed.
Why others are incorrect:
* A: Manual promotion is not automatic.
* C & D: Restoring from backup is slow and meant for disaster recovery, not failover.
References:
Amazon ElastiCache for Redis User Guide - "High Availability with Multi-AZ" AWS Well-Architected Framework - Reliability Pillar
NEW QUESTION # 293
A company uses Amazon Redshift to store structured data and Amazon S3 to store unstructured data. The company wants to analyze the stored data and create business intelligence reports. The company needs a data visualization solution that is compatible with Amazon Redshift and Amazon S3.
Which solution will meet these requirements?
Answer: A
Explanation:
This solution leverages:
* Amazon Redshift Spectrum to query S3 data directly from Redshift.
* Amazon Athena for ad-hoc analysis of S3 data.
* Amazon QuickSight for unified visualization from multiple data sources.
"Redshift Spectrum enables you to run queries against exabytes of data in Amazon S3 without having to load or transform the data."
"QuickSight supports both Amazon Redshift and Amazon Athena as data sources."
- Redshift Spectrum
- Amazon QuickSight Supported Data Sources
This architecture allows scalable querying and visualization with minimum ETL overhead, ideal for BI dashboards.
Incorrect Options:
* A: The query editor is not a BI tool.
* B, D: Grafana is better for time-series data, not structured analytics or BI reports.
References:
Redshift Spectrum
Amazon QuickSight Integration
NEW QUESTION # 294
A company runs an application on a large fleet of Amazon EC2 instances. The application reads and write entries into an Amazon DynamoDB table. The size of the DynamoDB table continuously grows, but the application needs only data from the last 30 days. The company needs a solution that minimizes cost and development effort.
Which solution meets these requirements?
Answer: C
Explanation:
Amazon DynamoDB Time to Live (TTL) allows you to define a per-item timestamp to determine when an item is no longer needed. Shortly after the date and time of the specified timestamp, DynamoDB deletes the item from your table without consuming any write throughput. TTL is provided at no extra cost as a means to reduce stored data volumes by retaining only the items that remain current for your workload's needs.
TTL is useful if you store items that lose relevance after a specific time. The following are example TTL use cases:
Remove user or sensor data after one year of inactivity in an application.
Archive expired items to an Amazon S3 data lake via Amazon DynamoDB Streams and AWS Lambda.
Retain sensitive data for a certain amount of time according to contractual or regulatory obligations.
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/TTL.html
NEW QUESTION # 295
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