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NEW QUESTION: 1
Schroeder and Conden alignment process says technology can follow strategy and strategy can follow
technology, however strategy and technology can NOT follow what?
A. Skills
B. Strategic plan
C. Change
D. Measurements
Answer: A
Explanation:
Schroeder and Conden alignment process says technology can follow strategy and strategy
can follow technology, however strategy and technology can NOT follow skills.

NEW QUESTION: 2
Which two kinds of failures make the Data Recovery Advisor (DRA) generate a manual checklist? (Choose two.)
A. Failure due to loss of connectivity-for example, an unplugged disk cable
B. Failure that requires no archive logs to be applied for recovery
C. Failure when no standby database is configured
D. Failure because a data file is renamed accidentally
Answer: A,D
Explanation:
Explanation: Explanation:
Advising on Repair
On the "View and Manage Failures" page, the Data Recovery Advisor generates a manual checklist after you click the Advise button. Two types of failures can appear.
* Failures that require human intervention: An example is a connectivity failure when a disk cable is not plugged in.
* Failures that are repaired faster if you can undo a previous erroneous action: For example, if you renamed a data file by error, it is faster to rename it back to its previous name than to initiate RMAN restoration from backup.
You can initiate the following actions:
* Click "Re-assess Failures" after you perform a manual repair. Resolved failures are implicitly closed; any remaining failures are displayed on the "View and Manage Failures" page.
* Click "Continue with Advise" to initiate an automated repair. When the Data Recovery Advisor generates an automated repair option, it generates a script that shows how RMAN plans to repair the failure. Click Continue if you want to execute the automated repair. If you do not want the Data Recovery Advisor to automatically repair the failure, you can use this script as a starting point for your manual repair.

NEW QUESTION: 3
Your company's on-premises Apache Hadoop servers are approaching end-of-life, and IT has decided to migrate the cluster to Google Cloud Dataproc. A like-for-like migration of the cluster would require 50 TB of Google Persistent Disk per node. The CIO is concerned about the cost of using that much block storage.
You want to minimize the storage cost of the migration. What should you do?
A. Tune the Cloud Dataproc cluster so that there is just enough disk for all data.
B. Put the data into Google Cloud Storage.
C. Migrate some of the cold data into Google Cloud Storage, and keep only the hot data in Persistent Disk.
D. Use preemptible virtual machines (VMs) for the Cloud Dataproc cluster.
Answer: D
Explanation:
Explanation/Reference:
Reference: https://cloud.google.com/dataproc/