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Oracle 1z0-1096-22 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Oracle Machine Learning Notebooks | - Using OML Notebooks for data science workflows - SQL and Python integration in OML |
| Topic 2: Model Building and Evaluation | - Model evaluation and performance metrics - Applying machine learning algorithms in Autonomous Database |
| Topic 3: Introduction to Oracle Machine Learning and Autonomous Database | - Oracle Autonomous Database architecture overview - Machine learning capabilities in Autonomous Database |
| Topic 4: Model Deployment and Management | - Deploying machine learning models in Oracle Autonomous Database - Model lifecycle management and monitoring |
| Topic 5: Data Preparation and Exploration | - Data loading and transformation using SQL and Oracle tools - Feature selection and data preprocessing techniques |
Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:
1. Which is a FALSE statement regarding Oracle Machine Learning (OML)?
A) OML offerings need a separate data visualization tool for creating visualization.
B) OML provides integration with open source Python and R statistical analysis functions.
C) OML provides scalable statistical functions though OML4Py and OML4R.
D) OML provides univariate and multivariate statistics.
2. You have shared your workspace with other users. You want to allow them to run and update the notebooks. However, you do not want to provide the ability to schedule the jobs to run notebooks.
Which permission should be granted to other users?
A) Manager
B) Viewer
C) Developer
D) Admin
3. What are three key features of Oracle Machine Learning Notebooks?
A) They enable access to in database implementation of machine learning algorithms.
B) They support SQL, PL/SQL, JavaScript, and PHP scripting languages.
C) They enable job scheduling of notebooks on a recurring schedule.
D) They provide a collaborative notebook interface on Oracle Autonomous Database.
E) They support integration with Oracle Data Miner-ID
4. Which three statements are true about unsupervised machine learning?
A) It uses unlabeled data.
B) It analyzes cases where the target value is already known.
C) There is no previously known result to guide the algorithm in building the model.
D) It can be used as a preliminary step for supervised algorithms.
5. Which three services can be used to access Oracle Machine Learning Notebooks? (Choose three.)
A) Autonomous Data Warehouse
B) Autonomous Transaction Processing
C) Oracle Application Express
D) Autonomous JSON Database
E) Autonomous Dedicated Infrastructure
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: B,C,E | Question # 4 Answer: A,B,C | Question # 5 Answer: A,B,D |
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