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NEW QUESTION: 1
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 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.
D. 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.
Answer: D
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: 2
회사에는 퍼블릭 및 프라이빗 서브넷에서 실행되는 2 계층 애플리케이션 아키텍처가 있습니다. 웹 애플리케이션을 실행하는 Amazon EC2 인스턴스는 퍼블릭 서브넷에 있고 데이터베이스는 프라이빗 서브넷에서 실행됩니다. 웹 애플리케이션 인스턴스 및 데이터베이스는 단일 가용 영역에서 실행되고 있습니다. (AZ).
솔루션 아키텍트가이 아키텍처에 고 가용성을 제공하기 위해 취해야 할 단계 조합은 무엇입니까? (2 개 선택)
A. 각각의 새로운 AZ에서 동일한 VPC에 새로운 퍼블릭 및 프라이빗 서브넷 생성 각각의 데이터베이스를 Amazon RDS 다중 AZ 배포로 마이그레이션
B. 고 가용성을 위해 동일한 AZ에서 새로운 퍼블릭 및 프라이빗 서브넷 생성
C. 기존 웹 애플리케이션 인스턴스를 Application Load Balancer 뒤의 Auto Scaling 그룹에 추가
D. 새 AZ에서 새로운 퍼블릭 및 프라이빗 서브넷 생성 하나의 AZ에서 Amazon EC2를 사용하여 데이터베이스 생성
E. 여러 AZ에 걸친 Amazon EC2 Auto Scaling 그룹 및 Application Load Balancer 생성
Answer: A,E
Explanation:
Explanation
You can take advantage of the safety and reliability of geographic redundancy by spanning your Auto Scaling group across multiple Availability Zones within a Region and then attaching a load balancer to distribute incoming traffic across those zones. Incoming traffic is distributed equally across all Availability Zones enabled for your load balancer.
Note
An Auto Scaling group can contain Amazon EC2 instances from multiple Availability Zones within the same Region. However, an Auto Scaling group can't contain instances from multiple Regions.
When one Availability Zone becomes unhealthy or unavailable, Amazon EC2 Auto Scaling launches new instances in an unaffected zone. When the unhealthy Availability Zone returns to a healthy state, Amazon EC2 Auto Scaling automatically redistributes the application instances evenly across all of the zones for your Auto Scaling group. Amazon EC2 Auto Scaling does this by attempting to launch new instances in the Availability Zone with the fewest instances. If the attempt fails, however, Amazon EC2 Auto Scaling attempts to launch in other Availability Zones until it succeeds.
You can expand the availability of your scaled and load-balanced application by adding an Availability Zone to your Auto Scaling group and then enabling that zone for your load balancer. After you've enabled the new Availability Zone, the load balancer begins to route traffic equally among all the enabled zones.
High Availability (Multi-AZ) for Amazon RDS
Amazon RDS provides high availability and failover support for DB instances using Multi-AZ deployments.
Amazon RDS uses several different technologies to provide failover support. Multi-AZ deployments for MariaDB, MySQL, Oracle, and PostgreSQL DB instances use Amazon's failover technology. SQL Server DB instances use SQL Server Database Mirroring (DBM) or Always On Availability Groups (AGs).
In a Multi-AZ deployment, Amazon RDS automatically provisions and maintains a synchronous standby replica in a different Availability Zone. The primary DB instance is synchronously replicated across Availability Zones to a standby replica to provide data redundancy, eliminate I/O freezes, and minimize latency spikes during system backups. Running a DB instance with high availability can enhance availability during planned system maintenance, and help protect your databases against DB instance failure and Availability Zone disruption. For more information on Availability Zones, see Regions, Availability Zones, and Local Zones

https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-add-availability-zone.html
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZ.html

NEW QUESTION: 3

A. Option D
B. Option E
C. Option C
D. Option A
E. Option B
F. Option F
Answer: A,B,F
Explanation:
Link :http://www.cisco.com/en/US/prod/collateral/routers/ps10537/white_paper_c11636065.html

NEW QUESTION: 4
IPv6 address 2001: ABEF 224E: FFE2: BCCO: CDOO: DDBE 8D58 cannot be abbreviated.
A. False
B. True
Answer: B