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NEW QUESTION: 1
Which of the following characteristics differentiate a rainbow table attack from a brute force attack?
(Select two.)
A. Rainbow table attacks greatly reduce compute cycles at attack time.
B. Rainbow tables must include precomputed hashes.
C. Rainbow table attacks must be performed on the network.
D. Rainbow table attacks do not require access to hashed passwords.
E. Rainbow table attacks bypass maximum failed login restrictions.
Answer: B,E

NEW QUESTION: 2
Because a client is taking an MAO inhibitor, it is necessary to discuss the need for adherence to a low-tyramine diet. Which of the following are foods that she should avoid?
A. Broiled fresh fish and fowl
B. Fresh vegetables
C. Pickled, aged, smoked, and fermented foods
D. Fresh fruit such as apples and oranges
Answer: C
Explanation:
(A) These foods may produce elevation in blood pressure when consumed during MAO inhibition therapy. (B) These foods have not been pickled, fermented, smoked, or aged. They contain very little, if any, tyramine or tryptophan. (C) As long as the meat has not been aged or smoked, it is within the dietary regimen. (D) Fresh fruits can be consumed as desired. However, the consumption of bananas is limited.

NEW QUESTION: 3
You work as a Database Documenter for Tech Perfect Inc. You have a database named Database1 created in Microsoft Office Access 2010. This database contains three tables named Products, Orders, and Order Details. You want to manage the tables in such a way that each record in the Orders table will have many records in the Products table and each record in the Products table will have many records in the Orders table. What should you do to accomplish the task?
A. Create a container-managed relationship.
B. Create a many-to-many relationship.
C. Create a one-to-one relationship.
D. Create a one-to-many relationship.
Answer: B
Explanation:
In order to accomplish the task, you should create a many-to-many relationship between the Orders table and the Products table. You can define this relationship by creating two one-to-many relationships to the Order Details table.
Answer B is incorrect. A one-to-one relationship is created between two tables in which each record in one table can have only one related record in another table.
Answer D is incorrect. A one-to-many relationship is created between two tables in which a row in the first table can have one or more matching rows in the second table, but a row in the second table can have only one matching row in the first table.
Answer C is incorrect. The Microsoft Office Access does not have this kind of relationship.

NEW QUESTION: 4
アプリケーションは、データの永続化のために、2つのAZとマルチAZ RDSインスタンスに展開されたWeb /アプリケーションサーバーのAuto Scalingグループの前でELBを使用しています。
多くの場合、データベースのCPUは80%を超える使用率であり、データベースのI / O操作の90%は読み取りです。パフォーマンスを向上させるために、最近、頻繁なDBクエリ結果をキャッシュする単一ノードのMemcached ElastiCacheクラスターを追加しました。今後数週間で、全体的なワークロードは30%増加すると予想されます。
予想される追加の負荷で高可用性またはアプリケーションを維持するために、アーキテクチャを変更する必要がありますか?どうして?
A. はい、RDS DBマスターインスタンスと同じAZに2つのノードを持つMemcached ElastiCacheクラスターをデプロイして、1つのキャッシュノードに障害が発生した場合の負荷を処理する必要があります。
B. いいえ、キャッシュノードに障害が発生した場合、可用性に影響を与えることなく、常に同じデータをDBから取得できます。
C. はい。キャッシュノードに障害が発生した場合、RDSインスタンスはロードを処理できないため、異なるAZに2つのMemcached ElastiCacheクラスターをデプロイする必要があります。
D. いいえ。キャッシュノードに障害が発生した場合、自動化されたElastiCacheノードリカバリ機能により、可用性への影響が防止されます。
Answer: C
Explanation:
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 caching focused 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.