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NEW QUESTION: 1
Which three statements are true about WebLogic clusters?
A. Cluster members can be associated with one or more domains.
B. Cluster members replicate application data by using heartbeats.
C. Clusters provide clients with transparent failover.
D. EJB applications can be targeted to an entire cluster.
E. Web applications require a proxy in order to be used in a cluster.
F. All cluster members must bind to the same port number.
Answer: C,D,F
Explanation:
A: If an object is clustered, failover and load balancing for that object is available.
In a WebLogic Server cluster, application processing can continue when a server instance fails.
You "cluster" application components by deploying them on multiple server instances in the
cluster-so, if a server instance on which a component is running fails, another server instance on
which that component is deployed can continue application processing.
The choice to cluster WebLogic Server instances is transparent to application developers and
clients.
B: A clustered application or application component is one that is available on multiple WebLogic Server instances in a cluster. If an object is clustered, failover and load balancing for that object is available. Deploy objects homogeneously-to every server instance in your cluster-to simplify cluster administration, maintenance, and troubleshooting.
Web applications can consist of different types of objects, including Enterprise Java Beans (EJBs), servlets, and Java Server Pages (JSPs).
Note: Load balancing and failover for EJBs and RMI objects is handled using replica-aware stubs, which can locate instances of the object throughout the cluster.
C: Cluster Multicast Address and Port
Identify the address and port you will dedicate to multicast communications for your cluster.
Reference: Using WebLogic Server Clusters, Understanding WebLogic Server Clustering

NEW QUESTION: 2
Which Cisco AnyConnect module allows troubleshooting for core AnyConnect problems?
A. VPN
B. web security
C. DART
D. NAM
E. telemetry
F. posture
G. CSSC
Answer: C
Explanation:
AnyConnect offers the DART module that can be used to analyze and troubleshoot connections. The information collected by DART can be examined locally or exported and sent to a network support desk for analysis.
Reference: CCNA Wireless (640-722 IUWNE) Quick Reference Guide page 74

NEW QUESTION: 3
Which solution meets the criteria for reducing the general IT costs for the Research and Training user group to access their applications?
A. VM Hosted applications
B. Dedicated desktop OS machines
C. Streamed server OS machines
D. Pooled desktop OS machine with Personal vDisk
Answer: C

NEW QUESTION: 4
あなたの会社はAzureApp ServiceWebアプリをデプロイしています。
テスト中、アプリケーションは負荷がかかった状態で失敗します。アプリケーションは、100を超える同時ユーザーセッションを処理できません。常時オン機能を有効にします。また、HTTPキューの長さに基づいて、カウントを2から10に増やすように自動スケーリングを構成します。
アプリケーションのパフォーマンスを向上させる必要があります。
各アプリケーションシナリオにどのソリューションを使用する必要がありますか？回答するには、回答領域で適切なオプションを選択します。
注：正しい選択はそれぞれ1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box 1: Content Delivery Network
A content delivery network (CDN) is a distributed network of servers that can efficiently deliver web content to users. CDNs store cached content on edge servers in point-of-presence (POP) locations that are close to end users, to minimize latency.
Azure Content Delivery Network (CDN) offers developers a global solution for rapidly delivering high-bandwidth content to users by caching their content at strategically placed physical nodes across the world. Azure CDN can also accelerate dynamic content, which cannot be cached, by leveraging various network optimizations using CDN POPs. For example, route optimization to bypass Border Gateway Protocol (BGP).
Box 2: Azure Redis Cache
Azure Cache for Redis is based on the popular software Redis. It is typically used as a cache to improve the performance and scalability of systems that rely heavily on backend data-stores. Performance is improved by temporarily copying frequently accessed data to fast storage located close to the application. With Azure Cache for Redis, this fast storage is located in-memory with Azure Cache for Redis instead of being loaded from disk by a database.
References:
https://docs.microsoft.com/en-us/azure/azure-cache-for-redis/cache-overview