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The AWS-Solutions-Associate certification exam is designed for individuals who want to validate their knowledge and skills in designing and deploying scalable, highly available, and fault-tolerant systems on Amazon Web Services (AWS). AWS Certified Solutions Architect - Associate (SAA-C03) certification is intended for solution architects, developers, system administrators, and anyone who is interested in learning about AWS cloud computing.
The Amazon AWS-Solutions-Architect-Associate Exam covers a wide range of topics, including AWS architecture and design, AWS deployment and management, AWS security, AWS compute and storage services, and AWS networking and content delivery. It is recommended that candidates have at least one year of hands-on experience designing and deploying scalable, highly available, and fault-tolerant systems on AWS before taking the exam.
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The AWS Certified Solutions Architect - Associate (SAA-C02) exam is a certification that validates an individual's skills and expertise in designing and deploying scalable, highly available, and fault-tolerant systems on Amazon Web Services (AWS) cloud platform. AWS-Solutions-Architect-Associate Exam is intended for professionals who work as solutions architects, system administrators, or developers and want to demonstrate their proficiency in AWS services and solutions.
NEW QUESTION # 606
You need to create an Amazon Machine Image (AMI) for a customer for an application which does not appear to be part of the standard AWS AMI template that you can see in the AWS console. What are the alternative possibilities for creating an AMI on AWS?
Answer: A
Explanation:
You can purchase an AMIs from a third party, including AMIs that come with service contracts from organizations such as Red Hat. You can also create an AMI and sell it to other Amazon EC2 users.
After you create an AMI, you can keep it private so that only you can use it, or you can share it with a specified list of AWS accounts. You can also make your custom AMI public so that the community can use it. Building a safe, secure, usable AMI for public consumption is a fairly straightforward process, if you follow a few simple guidelines.
Reference: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AMIs.html
NEW QUESTION # 607
A company has a web application that includes an embedded NoSQL database The application runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The instances run in an Amazon EC2 Auto Scaling group in a single Availability Zone.
A recent increase in traffic requires the application to be highly available and for the database to be eventually consistent Which solution will meet these requirements with the LEAST operational overhead*?
Answer: D
NEW QUESTION # 608
A newspaper organization has an on-premises application which allows the public to search its back catalogue and retrieve individual newspaper pages via a website written in Java. They have scanned the old newspapers into JPEGs (approx 17TB) and used Optical Character Recognition (OCR) to populate a commercial search product. The hosting platform and software are now end of life and the organization wants to migrate Its archive to AWS and produce a cost efficient architecture and still be designed for availability and durability.
Which is the most appropriate?
Answer: D
Explanation:
Explanation/Reference:
Explanation:
There is no such thing as "Most appropriate" without knowing all your goals. I find your scenarios very fuzzy, since you can obviously mix-n-match between them. I think you should decide by layers instead:
Load Balancer Layer: ELB or just DNS, or roll-your-own. (Using DNS+EIPs is slightly cheaper, but less reliable than ELB.) Storage Layer for 17TB of Images: This is the perfect use case for S3. Off-load all the web requests directly to the relevant JPEGs in S3. Your EC2 boxes just generate links to them.
If your app already serves it's own images (not links to images), you might start with EFS. But more than likely, you can just setup a web server to re-write or re-direct all JPEG links to S3 pretty easily.
If you use S3, don't serve directly from the bucket - Serve via a CNAME in domain you control. That way, you can switch in CloudFront easily.
EBS will be way more expensive, and you'll need 2x the drives if you need 2 boxes. Yuck.
Consider a smaller storage format. For example, JPEG200 or WebP or other tools might make for smaller images. There is also the DejaVu format from a while back.
Cache Layer: Adding CloudFront in front of S3 will help people on the other side of the world -- well, possibly. Typical archives follow a power law. The long tail of requests means that most JPEGs won't be requested enough to be in the cache. So you are only speeding up the most popular objects. You can always wait, and switch in CF later after you know your costs better. (In some cases, it can actually lower costs.) You can also put CloudFront in front of your app, since your archive search results should be fairly static.
This will also allow you to run with a smaller instance type, since CF will handle much of the load if you do it right.
Database Layer: A few options:
Use whatever your current server does for now, and replace with something else down the road. Don't under-estimate this approach, sometimes it's better to start now and optimize later.
Use RDS to run MySQL/Postgres
I'm not as familiar with ElasticSearch / Cloudsearch, but obviously Cloudsearch will be less maintenance
+setup.
App Layer:
When creating the app layer from scratch, consider CloudFormation and/or OpsWorks. It's extra stuff to learn, but helps down the road.
Java+Tomcat is right up the alley of ElasticBeanstalk. (Basically EC2 + Autoscale + ELB).
Preventing Abuse: When you put something in a public S3 bucket, people will hot-link it from their web pages. If you want to prevent that, your app on the EC2 box can generate signed links to S3 that expire in a few hours. Now everyone will be forced to go thru the app, and the app can apply rate limiting, etc.
Saving money: If you don't mind having downtime:
run everything in one AZ (both DBs and EC2s). You can always add servers and AZs down the road, as long as it's architected to be stateless. In fact, you should use multiple regions if you want it to be really robust.
use Reduced Redundancy in S3 to save a few hundred bucks per month (Someone will have to "go fix it" every time it breaks, including having an off-line copy to repair S3.) Buy Reserved Instances on your EC2 boxes to make them cheaper. (Start with the RI market and buy a partially used one to get started.) It's just a coupon saying "if you run this type of box in this AZ, you will save on the per-hour costs." You can get 1/2 to 1/3 off easily.
Rewrite the application to use less memory and CPU - that way you can run on fewer/smaller boxes. (May or may not be worth the investment.) If your app will be used very infrequently, you will save a lot of money by using Lambda. I'd be worried that it would be quite slow if you tried to run a Java application on it though.
We're missing some information like load, latency expectations from search, indexing speed, size of the search index, etc. But with what you've given us, I would go with S3 as the storage for the files (S3 rocks. It is really, really awesome). If you're stuck with the commercial search application, then on EC2 instances with autoscaling and an ELB. If you are allowed an alternative search engine, Elasticsearch is probably your best bet. I'd run it on EC2 instead of the AWS Elasticsearch service, as IMHO it's not ready yet. Don't autoscale Elasticsearch automatically though, it'll cause all sorts of issues. I have zero experience with CloudSearch so ic an't comment on that. Regardless of which option, I'd use CloudFormation for all of it.
NEW QUESTION # 609
A company plans to use an Amazon S3 bucket to archive backup data. Regulations require the company to retain the backup data for 7 years.
During the retention period, the company must prevent users, including administrators, from deleting the data.
The company can delete the data after 7 years.
Which solution will meet these requirements?
Answer: B
Explanation:
Comprehensive and Detailed Step-by-Step Explanation:
The requirement is toprevent data deletion by any user, including administrators, for 7 years while allowing automatic deletion afterward.
S3 Object Lock in Compliance Mode (Correct Choice - C)
Compliance mode ensures that even the root user cannot delete or modify the objects during the retention period.
After 7 years, the S3 Lifecycle policy automatically deletes the objects.
This meets bothimmutability and automatic deletionrequirements.
Governance Mode (Option B - Incorrect)
Governance mode prevents deletion,but administrators can override it.
The requirement explicitly states thateven administrators must not be able to delete the data.
S3 Bucket Policy (Option A - Incorrect)
An S3 bucket policy candeny deletes, but policies can be modified at any time by administrators.
It does not enforce strict retention like Object Lock.
S3 Batch Operations Job (Option D - Incorrect)
A legal hold does not have an automatic expiration.
Legal holds must be manually removed, which is not efficient.
Why Option C is Correct:
S3 Object Lock in Compliance Mode prevents deletion by all users, including administrators.
The S3 Lifecycle policy deletes the data automatically after 7 years, reducing operational overhead.
References:
S3 Object Lock Compliance Mode
S3 Lifecycle Policies
NEW QUESTION # 610
A company is building an application in the AWS Cloud. The application will store data in Amazon S3 buckets in two AWS Regions. The company must use an AWS Key Management Service (AWS KMS) customer managed key to encrypt all data that is stored in the S3 buckets. The data in both S3 buckets must be encrypted and decrypted with the same KMS key. The data and the key must be stored in each of the two Regions.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: C
NEW QUESTION # 611
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