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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. 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.
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. No, if the cache node fails you can always get the same data from the DB withouthaving any availability impact.
Answer: C
Explanation:
Explanation
A single-node Memcached ElastiCache cluster failure is nothing but a total failure. (Even though AWS will automatically recover the failed node, there are no other nodes in the cluster)
http://docs.aws.amazon.com/AmazonElastiCache/latest/UserGuide/BestPractices.html Mitigating Node Failures To mitigate the impact of a node failure, spread your cached data over more nodes. Because Memcached does not support replication, a node failure will always result in some data loss from your cluster.
When you create your Memcached cluster you can create it with 1 to 20 nodes, or more by special request.
Partitioning your data across a greater number of nodes means you'll lose less data if a node fails. For example, if you partition your data across 10 nodes, any single node stores approximately 10% of your cached data. In this case, a node failure loses approximately 10% of your cache which needs to be replaced when a replacement node is created and provisioned.
Mitigating Availability Zone Failures
To mitigate the impact of an availability zone failure, locate your nodes in as many availability zones as possible. In the unlikely event of an AZ failure, you will lose only the data cached in that AZ, not the data cached in the other AZs.

NEW QUESTION: 2
エンジニアは、VLANホッピング攻撃を阻止するためのベストプラクティスを適用していますか？ （2つ選択）
A. vlan dot 1Q tag nativeコマンドを使用します。
B. すべてのスイッチでDHCPスヌーピングを設定する
C. ユーザー向きのポートでDTPを無効にする
D. すべてのスイッチでIPをソースGuardに設定する
E. すべてのスイッチでcisco discoveryプロトコルを無効にする
Answer: A,C

NEW QUESTION: 3
A customer plans to display icons next to the search results for keyword queries on their site.
These icons should be based on the type of document that results from the search.
Which step should the architect recommend?
A. Create a new component under the /apps project called search with a sling:resourceSuperType of the foundation search component
B. Copy the entire foundation search component into the project under /apps and modify the search.jsp
C. Create a matching folder structure under /apps for the search component with a custom search.jsp
D. Make modifications the search.jsp for the foundation component under /libs
Answer: A

NEW QUESTION: 4
You have a database that contains tables named Customer_CRMSystem and Customer_ HRSystem.
Both tables use the following structure:

The tables include the following records:
Customer_ CRMSystem

Customer_ HRSystem

Records that contain null values for CustomerCode can be uniquely identified by Customer Name.
You need to display customers who appear in both tables and have a proper CustomerCode.
Which Transact-SQL statement should you run?
A:

B:

C:

D:

E:

A. Option D
B. Option C
C. Option E
D. Option A
E. Option B
Answer: D