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To become an AWS Certified Solutions Architect - Associate, candidates must pass the SAA-C02 exam. AWS-Solutions-Architect-Associate Exam consists of 65 multiple-choice and multiple-response questions, and candidates are given 130 minutes to complete it. The passing score for the exam is 720 out of 1000, and the exam fee is $150. Successful candidates will receive a certification that is valid for two years, after which they must renew their certification by passing a recertification exam or completing a professional development course.
The AWS-Solutions-Architect-Associate exam consists of multiple-choice and multiple-response questions and must be completed within 130 minutes. AWS-Solutions-Architect-Associate exam covers topics such as AWS core services, security, networking, storage, databases, and application development. To pass the exam, candidates must score 720 or higher out of a possible 1000 points. Achieving the AWS Certified Solutions Architect - Associate certification demonstrates the candidate's expertise in AWS technologies and validates their ability to design and deploy applications on the AWS platform.
The AWS Certified Solutions Architect - Associate (SAA-C02) exam is a certification offered by Amazon Web Services (AWS) and is designed to validate the skills and expertise of professionals who work with AWS technologies. AWS Certified Solutions Architect - Associate (SAA-C02) certification is ideal for individuals who are responsible for designing and deploying scalable systems on AWS.
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Amazon AWS Certified Solutions Architect - Associate (SAA-C02) Sample Questions (Q504-Q509):
NEW QUESTION # 504
A company wants to analyze log data using date ranges with a custom application running on AWS. The application generates about 10 GB of data every day, which is expected to grow. A Solutions Architect is tasked with storing the data in Amazon S3 and using Amazon Athena to analyze the data.
Which combination of steps will ensure optimal performance as the data grows? (Choose two.)
Answer: A,E
NEW QUESTION # 505
A company runs a web application that is backed by Amazon RDS. A new database administrator caused data loss by accidentally editing information in a database table To help recover from this type of incident, the company wants the ability to restore the database to its state from 5 minutes before any change within the last
30 days.
Which feature should the solutions architect include in the design to meet this requirement?
Answer: D
Explanation:
Explanation
https://aws.amazon.com/rds/features/backup/
Automated backups, will meet the requirement. Amazon RDS allows you to automatically create backups of your DB instance. Automated backups enable point-in-time recovery (PITR) for your DB instance down to a specific second within the retention period, which can be up to 35 days. By setting the retention period to 30 days, the company can restore the database to its state from up to 5 minutes before any change within the last
30 days.
NEW QUESTION # 506
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?
Answer: B
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 # 507
You are responsible for a web application that consists of an Elastic Load Balancing (ELB) load balancer
in front of an Auto Scaling group of Amazon Elastic Compute Cloud (EC2) instances. For a recent
deployment of a new version of the application, a new Amazon Machine Image (AMI) was created, and
the Auto Scaling group was updated with a new launch configuration that refers to this new AMI. During
the deployment, you received complaints from users that the website was responding with errors. All
instances passed the ELB health checks.
What should you do in order to avoid errors for future deployments? (Choose 2 answer)
Answer: B,D
NEW QUESTION # 508
A solutions architect is designing an architecture that includes web application and database tiers The web tier must be capable of auto scaling. The solutions architect has decided to separate each tier into its own subnets. The design includes two public subnets and four private subnets.
The security team requires that tiers be able to communicate with each other only when there is a business need and that all other network traffic be blocked What should the solutions architect do to meet these requirements?
Answer: A
NEW QUESTION # 509
......
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