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[General] Test AWS-Solutions-Architect-Associate Score Report - Exam AWS-Solutions-Archite

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【General】 Test AWS-Solutions-Architect-Associate Score Report - Exam AWS-Solutions-Archite

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How much AWS Solutions Associate CostThe exam fee for the AWS Solutions associate Associate certification exam is $150, and you can also take a preparation exam that costs $20. Whereas, for the professional level examination, the fee is $300. For more information related to exam price, please visit the official website AWS Website as the cost of exams may be subjected to vary county-wise.
To prepare for the AWS Certified Solutions Architect - Associate (SAA-C02) exam, candidates can take advantage of the many resources provided by AWS, including online courses, practice exams, and whitepapers. Additionally, there are many third-party training providers that offer classroom and online courses, as well as study guides and practice exams.
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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q102-Q107):NEW QUESTION # 102
A solution architect is designing a hybrid application using the AWS cloud. The network between the on-premises data center and AWS will use an AWS Direct Connect (DX) connection. The application connectivity between AWS and the on-premises data center must be highly resilient.
Which DX configuration should be implemented to meet these requirements?
  • A. Configure a DX connection using the most reliable DX partner.
  • B. Configure DX connections at multiple DX locations.
  • C. Configure multiple virtual interfaces on top of a DX connection.
  • D. Configure a DX connection with a VPN on top of it.
Answer: B

NEW QUESTION # 103
Your application is using an ELB in front of an Auto Scaling group of web/application servers deployed across two AZs and a Multi-AZ RDS Instance for data persistence.
The database CPU is often above 80% usage and 90% of I/O operations on the database are reads. To improve performance you recently added a single-node Memcached ElastiCache Cluster to cache frequent DB query results. In the next weeks the overall workload is expected to grow by 30%.
Do you need to change anything in the architecture to maintain the high availability or the application with the anticipated additional load? Why?
  • A. No, if the cache node fails the automated ElastiCache node recovery feature will prevent any availability impact.
  • B. No, if the cache node fails you can always get the same data from the DB without having any availability impact.
  • C. Yes, you should deploy two Memcached ElastiCache Clusters in different AZs because the RDS instance will not be able to handle the load if the cache node fails.
  • D. Yes, you should deploy the Memcached ElastiCache Cluster with two nodes in the same AZ as the RDS DB master instance to handle the load if one cache node fails.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
ElastiCache for Memcached
The primary goal of caching is typically to offload reads from your database or other primary data source.
In most apps, you have hot spots of data that are regularly queried, but only updated periodically. Think of the front page of a blog or news site, or the top 100 leaderboard in an online game. In this type of case, your app can receive dozens, hundreds, or even thousands of requests for the same data before it's updated again. Having your caching layer handle these queries has several advantages. First, it's considerably cheaper to add an in-memory cache than to scale up to a larger database cluster. Second, an in-memory cache is also easier to scale out, because it's easier to distribute an in-memory cache horizontally than a relational database.
Last, a caching layer provides a request buffer in the event of a sudden spike in usage. If your app or game ends up on the front page of Reddit or the App Store, it's not unheard of to see a spike that is 10 to
100 times your normal application load. Even if you autoscale your application instances, a 10x request spike will likely make your database very unhappy.
Let's focus on ElastiCache for Memcached first, because it is the best fit for a cachingfocused solution.
We'll revisit Redis later in the paper, and weigh its advantages and disadvantages.
Architecture with ElastiCache for Memcached
When you deploy an ElastiCache Memcached cluster, it sits in your application as a separate tier alongside your database. As mentioned previously, Amazon ElastiCache does not directly communicate with your database tier, or indeed have any particular knowledge of your database. A simplified deployment for a web application looks something like this:

In this architecture diagram, the Amazon EC2 application instances are in an Auto Scaling group, located behind a load balancer using Elastic Load Balancing, which distributes requests among the instances. As requests come into a given EC2 instance, that EC2 instance is responsible for communicating with ElastiCache and the database tier. For development purposes, you can begin with a single ElastiCache node to test your application, and then scale to additional cluster nodes by modifying the ElastiCache cluster. As you add additional cache nodes, the EC2 application instances are able to distribute cache keys across multiple ElastiCache nodes. The most common practice is to use client-side sharding to distribute keys across cache nodes, which we will discuss later in this paper.

When you launch an ElastiCache cluster, you can choose the Availability Zone(s) that the cluster lives in.
For best performance, you should configure your cluster to use the same Availability Zones as your application servers. To launch an ElastiCache cluster in a specific Availability Zone, make sure to specify the Preferred Zone(s) option during cache cluster creation. The Availability Zones that you specify will be where ElastiCache will launch your cache nodes. We recommend that you select Spread Nodes Across Zones, which tells ElastiCache to distribute cache nodes across these zones as evenly as possible. This distribution will mitigate the impact of an Availability Zone disruption on your ElastiCache nodes. The trade- off is that some of the requests from your application to ElastiCache will go to a node in a different Availability Zone, meaning latency will be slightly higher. For more details, refer to Creating a Cache Cluster in the Amazon ElastiCache User Guide.
As mentioned at the outset, ElastiCache can be coupled with a wide variety of databases. Here is an example architecture that uses Amazon DynamoDB instead of Amazon RDS and MySQL:

This combination of DynamoDB and ElastiCache is very popular with mobile and game companies, because DynamoDB allows for higher write throughput at lower cost than traditional relational databases.
In addition, DynamoDB uses a key-value access pattern similar to ElastiCache, which also simplifies the programming model. Instead of using relational SQL for the primary database but then key-value patterns for the cache, both the primary database and cache can be programmed similarly. In this architecture pattern, DynamoDB remains the source of truth for data, but application reads are offloaded to ElastiCache for a speed boost.

NEW QUESTION # 104
A company's application runs on AWS. The application stores large documents in an Amazon S3 bucket that uses the S3 Standard-infrequent Access (S3 Standerd-IA) storage class. The company will continue paying to store the data but wants to save on its total S3 costs. The company wants authorized external users to have the ability to access the documents in milliseconds.
Which solution will meet these requirements MOST cost-effectively?
  • A. Configure the S3 bucket to be a Requester Pays bucket
  • B. Use Amazon CloudFront to handle all the requests to the S3 bucket
  • C. Turn on S3 Transfer Acceleration tor the S3 Docket
  • D. Change the storage tier to S3 Standard for all existing and future objects.
Answer: B
Explanation:
Explanation
This option is the most efficient because it uses Amazon CloudFront, which is a web service that speeds up distribution of your static and dynamic web content, such as .html, .css, .js, and image files, to your users1. It also uses CloudFront to handle all the requests to the S3 bucket, which reduces the S3 costs by caching the content at the edge locations and serving it from there. It also allows authorized external users to access the documents in milliseconds, as CloudFront delivers the content with low latency and high data transfer rates.
This solution meets the requirement of continuing paying to store the data but saving on its total S3 costs. Option A is less efficient because it configures the S3 bucket to be a Requester Pays bucket, which is a way to shift the cost of data transfer and requests from the bucket owner to the requester2. However, this does not reduce the total S3 costs, as the company still has to pay for storing the data and for any requests made by its own users. Option B is less efficient because it changes the storage tier to S3 Standard for all existing and future objects, which is a way to store frequently accessed data with high durability and availability3.
However, this does not reduce the total S3 costs, as S3 Standard has higher storage costs than S3 Standard-IA. Option C is less efficient because it turns on S3 Transfer Acceleration for the S3 bucket, which is a way to speed up transfers into and out of an S3 bucket by routing requests through CloudFront edge locations4. However, this does not reduce the total S3 costs, as S3 Transfer Acceleration has additional charges for data transfer and requests.

NEW QUESTION # 105
A solutions Architect needs to build a resilient data warehouses using amazon Rehshift. The architect needs to rebuild the Redshift cluster in another region.
Which approach can architect take to address this requirement?
  • A. Modify the Redshift cluster to use AWS Snowball in export mode with data delivered to the other region
  • B. Modify the Redshift. cluster and configure cross-region snapshots to the other region
  • C. Modify the Redshift cluster and configure the backup and specify the Amazon S3 bucket in the other region
  • D. Modify the Redshift cluster to take snapshots of the Amazon EBS volumes each day sharing those snapshots with the other region
Answer: D

NEW QUESTION # 106
An online learning company is migrating to the AWS Cloud. The company maintains its student records in a PostgreSQL database. The company needs a solution in which its data is available and online across multiple AWS Regions at all times.
Which solution will meet these requirements with the LEAST amount of operational overhead?
  • A. Migrate the PostgreSQL database to an Amazon RDS for PostgreSQL DB instance with the Multi-AZ feature turned on
  • B. Migrate the PostgreSQL database to an Amazon RDS for PostgreSQL DB instance Set up DB snapshots to be copied to another Region.
  • C. Migrate the PostgreSQL database to an Amazon RDS for PostgreSQL DB instance Create a read replica in another Region
  • D. Migrate the PostgreSQL database to a PostgreSQL cluster on Amazon EC2 instances
Answer: C

NEW QUESTION # 107
......
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