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NEW QUESTION: 1
What can be automatically implemented after the SQL Tuning Advisor is run as part of the Automated Maintenance Task?
A. SQL profile recommendations
B. creation of materialized views to improve query performance
C. statistics recommendations
D. SQL statement restructure recommendations
Answer: A
Explanation:
Explanation
Once automatic SQL tuning begins, which by default runs for at most one hour during a maintenance window, the following steps are performed: ... During the tuning process, all recommendation types are considered and reported, but only SQL profiles can be implemented automatically.
References:
https://docs.oracle.com/cd/B28359_01/server.111/b28274/sql_tune.htm#CHDJDFGE

NEW QUESTION: 2
Your network contains a domain controller named DC1 and a member server named Server1. You save a copy of the Active Directory Web Service (ADWS) event log on DC1. You copy the log to Server1. You open the event log file on Server1 and discover that the event description information is unavailable.
You need to ensure that the event log file displays the same information when the file is open on Server1.
What should you do on Server1?
A. Copy the LocaleMetaData folder from DC1.
B. Copy the SYSVOL folder to DC1.
C. Import a custom view.
D. Create a custom view.
Answer: A
Explanation:
The LocaleMetaData contains the description/display information that is missing, and when you "save all events as" you should chose to save and "display information".

NEW QUESTION: 3
When designing a system for VMware HA functionality, which of the following considerations is not an impact to the design?
A. The size of the host
B. Application compatibility with VMware platforms using HA
C. The number of hosts
Answer: B
Explanation:
The simplicity of VMware HA is one of the many design benefits. If an application or guest virtualmachine is running on a vSphere platform, the system is compatible from a high level with VMware HA. It ispurely an automated restart from a functionality perspective.

NEW QUESTION: 4
You are building an Azure Machine Learning Experiment.
You need to transform 47 numeric columns into a set of 10 linearly uncorrelated features.
Which module should you add to the experiment?
A. K-Means Clustering
B. Group Data into Bins
C. Normalize data
D. Principal Component Analysis
Answer: D