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NEW QUESTION: 1
Your network contains an Active Directory domain named contoso.com. The domain contains two member servers named Server1 and Server2. All servers run Windows Server 2012 R2.
Server1 and Server2 are nodes in a Hyper-V cluster named Cluster1. Cluster1 hosts 10 virtual machines. All of the virtual machines run Windows Server 2012 R2 and are members of the domain.
You need to ensure that the first time a service named Service1 fails on a virtual machine, the virtual machine is moved to a different node.
You configure Service1 to be monitored from Failover Cluster Manager.
What should you configure on the virtual machine?
A. From the General settings, modify the Service status.
B. From the Recovery settings of Service1, set the First failure recovery action to Restart the Service.
C. From the General settings, modify the Startup type.
D. From the Recovery settings of Service1, set the First failure recovery action to Take No Action.
Answer: D
Explanation:
When a monitored service fails the Recovery features of the service will take action.
Example:
Service Recovery
In this case for the first failure the service will be restarted by the Service Control Manager inside the guest operating system, if the service fails for a second time the service will again be restarted via guest operating system. In case of a third failure the Service Control Manager will take no action and the Cluster service running on the Hyper-V host will takeover recovery actions.
Reference: How to configure VM Monitoring in Windows Server 2012
NEW QUESTION: 2
Which should you use to monitor server performance and resource utilization?
A. Memory
B. RAM
C. Boot logs
D. Counters
Answer: D
Explanation:
Explanation/Reference:
Performance Counters, Purpose
Counters are used to provide information as to how well the operating system or an application, service, or driver is performing. The counter data can help determine system bottlenecks and fine-tune system and application performance. The operating system, network, and devices provide counter data that an application can consume to provide users with a graphical view of how well the system is performing.
NEW QUESTION: 3
Your business is building a new application that will store its entire customer database on a RDS MySQL database, and will have various applications and users that will query that data for different purposes.
Large analytics jobs on the database are likely to cause other applications to not be able to get the query results they need to, before time out. Also, as your data grows, these analytics jobs will start to take more time, increasing the negative effect on the other applications.
How do you solve the contention issues between these different workloads on the same data?
A. Use ElastiCache to offload the analytics job data
B. Run the RDS instance on the largest size possible
C. Create RDS Read-Replicas for the analytics work
D. Enable Multi-AZ mode on the RDS instance
Answer: A
Explanation:
Explanation
Amazon ElastiCache is a web service that makes it easy to deploy and run Memcached or Redis protocol-compliant server nodes in the cloud. Amazon ElastiCache improves the performance of web applications by allowing you to retrieve information from a fast, managed, in-memory caching system, instead of relying entirely on slower disk-based databases. The service simplifies and offloads the management, monitoring and operation of in-memory cache environments, enabling your engineering resources to focus on developing applications. Using Amazon ElastiCache, you can not only improve load and response times to user actions and queries, but also reduce the cost associated with scaling web applications.
Amazon ElastiCache automates common administrative tasks required to operate a distributed cache environment. Using Amazon ElastiCache, you can add a caching layer to your application architecture in a matter of minutes via a few clicks of the AWS Management Console. Once a cache cluster is provisioned, Amazon ElastiCache automatically detects and replaces failed cache nodes, providing a resilient system that mitigates the risk of overloaded databases, which slow website and application load times. Through integration with Amazon CloudWatch monitoring, Amazon ElastiCache provides enhanced visibility into key performance metrics associated with your cache nodes. Amazon ElastiCache is protocol-compliant with Memcached and Redis, so code, applications, and popular tools that you use today with your existing Memcached or Redis environments will work seamlessly with the service. As with all Amazon Web Services,