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NEW QUESTION: 1



A. Option B
B. Option D
C. Option C
D. Option A
Answer: C
Explanation:
Need to manually dispose of the siteCollection instance. This can be done through a finally statement.
Note:
* Try and finally blocks or a using statement would be required to avoid potential leaks
when you create a disposable object within a foreach block, as shown in the following code
example.
SPWebApplication webApp = siteCollectionOuter.WebApplication;
SPSiteCollection siteCollections = webApp.Sites;
SPSite siteCollectionInner = null;
foreach (siteCollectionInner in siteCollections)
{
try //Should be first statement after foreach.
{
Console.WriteLine(siteCollectionInner.Url);
//Exception occurs here. } finally { if(siteCollectionInner != null) siteCollectionInner.Dispose(); } }
* Why Dispose? Several of the Windows SharePoint Services objects, primarily the SPSite class and SPWeb class objects, are created as managed objects. However, these objects use unmanaged code and memory to perform the majority of their work. The managed part of the object is much smaller than the unmanaged part. Because the smaller managed part does not put memory pressure on the garbage collector, the garbage collector does not release the object from memory in a timely manner. The object's use of a large amount of unmanaged memory can cause some of the unusual behaviors described earlier. Calling applications that work with IDisposable objects in Windows SharePoint Services must dispose of the objects when the applications finish using them. You should not rely on the garbage collector to release them from memory automatically.
Reference: Best Practices: Using Disposable Windows SharePoint Services Objects

NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are using Azure Machine Learning to run an experiment that trains a classification model.
You want to use Hyperdrive to find parameters that optimize the AUC metric for the model. You configure a HyperDriveConfig for the experiment by running the following code:

variable named y_test variable, and the predicted probabilities from the model are stored in a variable named y_predicted. You need to add logging to the script to allow Hyperdrive to optimize hyperparameters for the AUC metric. Solution: Run the following code:

Does the solution meet the goal?
A. No
B. Yes
Answer: B
Explanation:
Explanation
Python printing/logging example:
logging.info(message)
Destination: Driver logs, Azure Machine Learning designer
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-debug-pipelines

NEW QUESTION: 3
IBM APM can monitor mobile device applications. At what levels can operators monitor WebSphere Worklight applications?
A. At the Worklight server and transaction levels
B. At the Worklight server level only
C. At the Worklight server, the mobile client OS. the individual mobile device, and at the transaction levels
Answer: C

NEW QUESTION: 4

A. Slide
B. Cell
C. Formula
D. DataPilot
Answer: A