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NEW QUESTION: 1
An EMC Avamar system is integrated with an EMC Data Domain system. When a backup has expired on the Avamar server, what is the impact to the backup data stored on the Data Domain system?
A. Cleaning is run on the Data Domain system
B. Backup data is deleted from the Data Domain system
C. Backup data on the Data Domain system is replicated 59
D. Backup data is marked for deletion on the Data Domain system
Answer: D

NEW QUESTION: 2
Scaling a Cloud Dataproc cluster typically involves ____.
A. increasing or decreasing the number of master nodes
B. deleting applications from unused nodes periodically
C. increasing or decreasing the number of worker nodes
D. moving memory to run more applications on a single node
Answer: C
Explanation:
After creating a Cloud Dataproc cluster, you can scale the cluster by increasing or decreasing the number of worker nodes in the cluster at any time, even when jobs are running on the cluster. Cloud Dataproc clusters are typically scaled to:
1 ) increase the number of workers to make a job run faster
2 ) decrease the number of workers to save money
3 ) increase the number of nodes to expand available Hadoop Distributed Filesystem (HDFS) storage Reference: https://cloud.google.com/dataproc/docs/concepts/scaling-clusters

NEW QUESTION: 3
In reviewing the Auto-Scaling events for your application you notice that your application is scaling up and down multiple times in the same hour. What design choice could you make to optimize for costs while preserving elasticity?
Choose 2 options from the choices given below
A. Modifythe Auto Scalinggroup termination policy to terminate the newest instancefirst.
B. Modifythe Auto Scaling policy to use scheduled scaling actions
C. Modifythe Auto Scaling Group cool down timers
D. Modifythe Amazon Cloudwatch alarm period that triggers your AutoScaling scale downpolicy.
Answer: C,D
Explanation:
Explanation
The Auto Scaling cooldown period is a configurable setting for your Auto Scalinggroup that helps to ensure that Auto Scaling doesn't launch or terminate additional instances before the previous scaling activity takes effect. After the Auto Scalinggroup dynamically scales using a simple scaling policy. Auto Scaling waits for the cooldown period to complete before resuming scaling activities. When you manually scale your Auto Scaling group, the default is not to wait for the cooldown period, but you can override the default and honor the cooldown period. Note that if an instance becomes unhealthy.
Auto Scaling does not wait for the cooldown period to
complete before replacing the unhealthy instance.
For more information on Autoscale cool down timers please visit the URL:
* http://docs.ws.amazon.com/autoscaling/latest/userguide/Cooldown.htmI
You can also modify the Cloudwatch triggers to ensure the thresholds are appropriate for the scale down policy For more information on Autoscaling user guide please visit the URL:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/as-scale-based-on-demand.html