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NEW QUESTION: 1
Which three statements are true about Automatic Degree of Parallelism (Auto DOP) on Exadata?
A. Auto DOP is an exclusive feature in Exadata, which allows the database optimizer to evaluate each statement and run it in parallel without special hints.
B. Auto DOP is disabled by default and must be enabled before SQL statements can take advantage of its features.
C. SQL statements that take advantage ofAuto DOP am be identified by using data from Oracle Automatic Workload Repository (AWR) or Enterprise Manager's Monitored SQL Executions page.
D. Auto DOP is enabled by default on Oracle 11gR2, allowing full use of its features.
E. Oracle's Auto DOP algorithms calculate the Degree of Parallelism based on the table's block counts.
Answer: B,C,E
Explanation:
Explanation/Reference:
Explanation:
B (not c): To enable the features in 11g Release 2, use the parallel_degree_policyparameter (by default this stuff is off - parameter is set to manual). For Auto DOP, setting this to limited is sufficient. If you want more functionality (in-memory parallel processing and parallel statement queuing parallel_degree_policy should be set to auto).
Incorrect:
Not A:
* What if you don't have Exadata? Chances are that if your system is large enough to warrant Auto DOP, it is similar enough to Exadata to behave nicely with this number.
*Auto DOP is only useful in systems with enough CPUs and disks to make concurrent parallel processing feasible. It was designed mostly for Exadata, or for systems of similar size. 48 CPUs and 84 disks sound like a nice start
NEW QUESTION: 2
You manage a web application published to Azure Cloud Services. Your service level agreement (SLA) requires that you are notified in the event of poor performance from customer locations in the US, Asia, and Europe.
You need to configure the Azure Management Portal to notify you when the SLA performance targets are not met. What should you do?
A. Create an alert rule to monitor web endpoints
B. Configure the performance counter on the cloud service.
C. Add an endpoint monitor and alert rule to the Notification Hub.
D. Create a Notification Hub alert with response time metrics.
Answer: A
Explanation:
Reference: https://docs.microsoft.com/en-us/azure/monitoring-and-diagnostics/insights-alerts-portal
NEW QUESTION: 3
You are working on a classification task. You have a dataset indicating whether a student would like to play soccer and associated attributes. The dataset includes the following columns:
You need to classify variables by type.
Which variable should you add to each category? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
References:
https://www.edureka.co/blog/classification-algorithms/
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