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To prepare for the Oracle 1z0-1096-22 exam, candidates need to have a good grasp of machine learning concepts, such as supervised and unsupervised learning, regression, classification, clustering, and deep learning. Additionally, candidates must also be familiar with programming languages like Python and R, and have some experience in data preparation and visualization. They should also have a good understanding of database management concepts, particularly Oracle Autonomous Database.
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NEW QUESTION # 38
In which three use cases are Oracle Machine Learning algorithms suitable?
Answer: A,C,D
NEW QUESTION # 39
What is the proper workflow for analyzing data in Oracle Machine Learning?
Answer: A
NEW QUESTION # 40
You are creating a job that should run a notebook every hour. You want to make sure that the job does not run repeatedly if there are more than five consecutive failures to run the job.
Which option should you set while creating the job?
Answer: C
Explanation:
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/get-started-jobs.html#GUID-DAE3D097-2EB5-4345-88F5-B4780EFD634A
NEW QUESTION # 41
You have created a workspace in Oracle Machine Learning Notebooks and want to share it with collaborators by granting permissions to access your workspace. You want to enable other users to run and modify your notebooks but do not want to provide the ability to schedule jobs that run your notebooks.
Which permission type should be granted to this user?
Answer: D
NEW QUESTION # 42
Which three Oracle Machine Learning (OML) Notebooks capabilities are enabled when an OML user is created with the oml_developer role?
Answer: A,B,D
NEW QUESTION # 43
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