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AWS Solutions Associate Certification Path

Test Preparation teaches you how the exam questions ought to be decoded and the more you squander your exercise. Our Exam Preparedness: AWS Trained Solutions associate - Technical arrangement course is conveyed in different configurations: study hall preparing for learning or taking an interest in a physical or reproduced homeroom with an AWS Approved Learner. Free media preparing for learning whenever it is reasonable for you. The course surveys test inquiries in each branch of knowledge and how the themes tried ought to be seen to such an extent that off base answers are simpler to stay away from. Track down the correct decision for you.

Knowledge of the use of AWS resources in computing, networking, storage, and database AWS implementation, and operations systems hands-on insight. The capacity of an AWS-based program to recognize and specify functional specifications. The ability to define which AWS programs satisfy particular technological needs. Knowledge of recommended best practices for safe and trustworthy AWS platform applications. Understanding the core associateural tenets of AWS Cloud construction. AWS global infrastructure awareness. An understanding of AWS-related network technology. Understand the security characteristics and resources provided by AWS and its ties with conventional providers.

The AWS-Solutions-Associate certification exam consists of 65 multiple-choice and multiple-response questions, which must be completed within 130 minutes. The exam covers a wide range of topics, including AWS architecture, deployment, and management, as well as AWS security, cost optimization, and troubleshooting. The exam is designed to test the individual's ability to apply AWS best practices and design principles to create solutions that meet customer requirements.

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Understanding functional and technical aspects of AWS Solutions Associate Design for New Solutions

The following will be dicussed in AMAZON AWS SOLUTIONS ASSOCIATE exam dumps:

Identifying elastic and scalable compute solutions for an application

Selecting the relevant instance(s) based on compute, storage, and networking needs, choosing the appropriate associate and services that scale to satisfy performance requirements, and identifying metrics to observe the performance of the solution

Selecting high-performing and scalable storage solutions for an application

Choosing a storage service and configuration that satisfies performance requirements and determining storage services that can scale to accommodate anticipated needs

Selecting high-performing networking solutions for an application

Selecting suitable AWS connectivity prospects to meet performance requirements, selecting relevant characteristics to optimize connectivity to AWS public services, determining an edge caching strategy to provide performance benefits, and selecting relevant data transfer service for migration and/or ingestion

Choosing high-performing database solutions for an application

Choosing a relevant database scaling strategy, determining when database caching is needed for performance enhancement, and choosing a proper database service to meet performance requirements

Amazon AWS Certified Solutions Architect - Associate (SAA-C02) Sample Questions (Q150-Q155):

NEW QUESTION # 150
A newspaper organization has a 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 AW5 and produce a cost efficient architecture and still be designed for availability and durability. Which is the most appropriate?

A. Use a CloudFront download distribution to serve the JPEGs to the end users and Install the current commercial search product, along with a Java Container Tor the website on EC2 instances and use
Route53 with DNS round-robin.
B. Model the environment using CloudFormation use an EC2 instance running Apache webserver and an open source search application, stripe multiple standard EB5 volumes together to store the JPEGs and search index.
C. Use 53 with reduced redundancy lo store and serve the scanned files, install the commercial search application on EC2 Instances and configure with auto-scaling and an Elastic Load Balancer.
D. Use 53 with standard redundancy to store and serve the scanned files, use Cloud5earch for query processing, and use Elastic Beanstalk to host the website across multiple availability zones.
E. Use a single-AZ RD5 My5QL instance lo store the search index 33d the JPEG images use an EC2 instance to serve the website and translate user queries into 5QL.

Answer: D

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 53. Off-load all the web requests directly to the relevant JPEGs in 53. 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 53 pretty easily.
If you use 53, 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 Cloud Front in front of 53 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 I Cloudsearch, but obviously Cloudsearch will be less maintenance+setup.
App Layer:
When creating the app layer from scratch, consider Cloud Formation 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 53 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 53 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 53 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 53.)
Buy Reserved Instances on your EC2 boxes to make them cheaper. (Start with the Rl 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 53 as the storage for the files (53 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 I can't comment on that. Regardless of which option, I'd use Cloud Formation for all of it.

NEW QUESTION # 151
A public-facing web application queries a database hosted on an Amazon EC2 instance in a private subnet. A large number of queries involve multiple table joins, and the application performance has been degrading due to an increase in complex queries. The application team will be performing updates to improve performance.
What should a solutions architect recommend to the application team? (Choose two.)

A. Implement Amazon DynamoDB Accelerator to cache data.
B. Cache query data in Amazon SQS
C. Migrate the database to Amazon RDS
D. Create a read replica to offload queries
E. Migrate the database to Amazon Athena

Answer: C,D

NEW QUESTION # 152
A workload consists of downloading an image from an Amazon S3 bucket, processing the image, and moving it to another Amazon S3 bucket. An Amazon EC2 instance runs a scheduled task every hour to perform the operation.
How should a Solutions Architect redesign the process so that it is highly available?

A. Charge the Amazon EC2 instance to compute optimized
B. Initially copy the images to an attached Amazon EBS volume.
C. Launch a second Amazon EC2 instance to monitor the health of the first
D. Trigger a Lambda function when a new object is uploaded

Answer: D

NEW QUESTION # 153
A solutions architect needs to design the architecture for an application that a vendor provides as a Docker container image. The container needs 50 GB of storage.
available for temporary files. The infrastructure must be serverless.
Which solution meets these requirements with the LEAST operational overhead?

A. Create an Amazon Elastic Container Service (Amazon ECS) cluster that uses the AWS Fargate launch type. Create a task definition for the container image with an Amazon Elastic File System (Amazon EFS) volume. Create a service with that task definition.
B. Create an AWS Lambda function that uses the Docker container image with an Amazon S3 mounted volume that has more than 50 GB of space.
C. Create an Amazon Elastic Container Service (Amazon ECS) duster that uses the Amazon EC2 launch type with an Amazon Elastic Block Store (Amazon EBS) volume that has more than 50 GB of space.
Create a task definition for the container image. Create a service with that task definition.
D. Create an AWS Lambda function that uses the Docker container image with an Amazon Elastic Block Store (Amazon EBS) volume that has more than 50 GB of space.

Answer: A

NEW QUESTION # 154
A company is concerned that two NAT instances in use will no longer be able to support the traffic needed for the company's application. A solutions architect wants to implement a solution that is highly available fault tolerant, and automatically scalable.
What should the solutions architect recommend?

A. Remove the two NAT instances and replace them with two NAT gateways in the same Availability Zone.
B. Replace the two NAT instances with Spot Instances in different Availability Zones and deploy a Network Load Balancer.
C. Remove the two NAT instances and replace them with two NAT gateways in different Availability Zones.
D. Use Auto Scaling groups with Network Load Balancers for the NAT instances in different Availability Zones.

Answer: C

NEW QUESTION # 155
......

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