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NEW QUESTION: 1
Refer to the exhibit: The plots represent two models, A and B, being fit to the same two data sets, training and validation.

Model A is 90.5% accurate at distinguishing blue from red on the training data and 75.5% accurate at doing the same on validation data. Model B is 83% accurate at distinguishing blue from red on the training data and 78.3% accurate at doing the same on the validation data.
Which of the two models should be selected and why?
A. Model B, It is simpler with a higher accuracy than model A on validation data.
B. Model B, It is more complex with a higher accuracy than model A on validation data.
C. Model A, It performs better on the boundary for the training data.
D. Model A, It is more complex with a higher accuracy than model B on training data.
Answer: A

NEW QUESTION: 2
In preparation to do a vulnerability scan against your company's systems. You've taken the steps below:
You've notified users that there will be a system test.
You've priontized and selected your targets and subnets.
You've configured the system to do a deep scan.
You have a member of your team on call to answer questions.
Which of the following is a necessary step to take prior to starting the scan?
A. Getting permission to run the scan.
B. Clear relevant system log files.
C. Placing the incident response team on call.
D. Scheduling the scan to run before OS updates.
Answer: A

NEW QUESTION: 3

A. Option A
B. Option C
C. Option D
D. Option B
Answer: D
Explanation:
Step 1 (2). Seed column usage Oracle must observe a representative workload, in order to determine the appropriate column groups. Using the new procedure DBMS_STATS.SEED_COL_USAGE, you tell Oracle how long it should observe the workload. Step 2: (3) You don't need to execute all of the queries in your work during this window. You can simply run explain plan for some of your longer running queries to ensure column group information is recorded for these queries. Step 3. (1) Create the column groups At this point you can get Oracle to automatically create the column groups for each of the tables based on the usage information captured during the monitoring window. You simply have to call the DBMS_STATS.CREATE_EXTENDED_STATS function for each table.This function requires just two arguments, the schema name and the table name. From then on, statistics will be maintained for each column group whenever statistics are gathered on the table.
Note:
*DBMS_STATS.REPORT_COL_USAGE reports column usage information and records all the SQL operations the database has processed for a given object.
*The Oracle SQL optimizer has always been ignorant of the implied relationships between data columns within the same table. While the optimizer has traditionally analyzed the distribution of values within a column, he does not collect value-based relationships between columns.
*Creating extended statisticsHere are the steps to create extended statistics for related table columns withdbms_stats.created_extended_stats: 1 - The first step is to create column histograms for the related columns.2 - Next, we run
dbms_stats.create_extended_stats to relate the columns together.
Unlike a traditional procedure that is invoked via an execute ("exec") statement, Oracle extended
statistics are created via a select statement.