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NEW QUESTION: 1
What is the purpose of the Checkpoint mechanism?
A. It checks for the offline bit of the files.
B. It allows the file archiving task to restart from the point it last stopped.
C. It checks for the archive bit of the files.
D. It allows archived files to be recalled at a scheduled timing.
Answer: B
NEW QUESTION: 2
Your customer has implemented Oracle Project Portfolio Management Cloud recently and they have hired new employees for their Professions Services business. These employees are set up in Oracle Human Capital Management Cloud, but the Project Administrators are unable to add them as resources in the Planning Resource Breakdown Structure.
What are three conditions for new employees to show up in the list? (Choose three.)
A. All new employees created as persons
B. All new employees created as persons
C. All new employees created as persons must have an active project role.
D. Current date is before the effective date of the resource, and you did not enable the "Include people with future-dated effective start dates" option during the search.
E. All new employees created as persons must have an active supervisor.
Answer: A,B,D
Explanation:
Explanation
Ref:
https://docs.oracle.com/en/cloud/saas/project-portfolio-management/19b/oapfm/project-foundation-configuration Why can't I find persons in the list of resources when I enter team members, planning resources, or person rate schedules?
You can't find persons in the list of resources when you enter team members, planning resources, or person rate schedules in the following situations:
* The administrator didn't assign a department while creating users. Persons must have an active assignment and be assigned to a department in Oracle Fusion Human Capital Management before they can be added as team members or entered as resources on the planning resource breakdown structure or person rate schedule.
* The resource isn't active in Oracle Fusion Human Capital Management because the current date is before the effective date of the resource. If you want to include persons who will start in the future, select the Include people with future-dated effective start dates option when you search for the person.
* Persons assigned as project managers aren't active as of the project start date.
* The assignment of the person is terminated, and an appropriate value isn't set for the number of days to display people with terminated assignments. You can set the profile value appropriately at the site profile level using the Specify Number of Days to Display People with Terminated Assignments task in the Setup and Maintenance work area.
NEW QUESTION: 3
Your company has a Microsoft Azure environment that contains an Azure HDInsight Hadoop cluster and an Azure SQL data warehouse. The Hadoop cluster contains text files that are formatted by using UTF-8 character encoding.
You need to implement a solution to ingest the data to the SQL data warehouse from the Hadoop cluster. The solution must provide optimal read performance for the data after ingestion.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
SQL Data Warehouse supports loading data from HDInsight via PolyBase. The process is the same as loading data from Azure Blob Storage - using PolyBase to connect to HDInsight to load data.
Use PolyBase and T-SQL
Summary of loading process:
Recommendations
Create statistics on newly loaded data. Azure SQL Data Warehouse does not yet support auto create or auto update statistics. In order to get the best performance from your queries, it's important to create statistics on all columns of all tables after the first load or any substantial changes occur in the data.
NEW QUESTION: 4
Match the machine learning tasks to the appropriate scenarios.
To answer, drag the appropriate task from the column on the left to its scenario on the right. Each task may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Model evaluation
The Model evaluation module outputs a confusion matrix showing the number of true positives, false negatives, false positives, and true negatives, as well as ROC, Precision/Recall, and Lift curves.
Box 2: Feature engineering
Feature engineering is the process of using domain knowledge of the data to create features that help ML algorithms learn better. In Azure Machine Learning, scaling and normalization techniques are applied to facilitate feature engineering. Collectively, these techniques and feature engineering are referred to as featurization.
Note: Often, features are created from raw data through a process of feature engineering. For example, a time stamp in itself might not be useful for modeling until the information is transformed into units of days, months, or categories that are relevant to the problem, such as holiday versus working day.
Box 3: Feature selection
In machine learning and statistics, feature selection is the process of selecting a subset of relevant, useful features to use in building an analytical model. Feature selection helps narrow the field of data to the most valuable inputs. Narrowing the field of data helps reduce noise and improve training performance.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/evaluate-model-performance
https://docs.microsoft.com/en-us/azure/machine-learning/concept-automated-ml