1z0-1096-22 Dumps with Practice Exam Questions Answers
1z0-1096-22 by Oracle Autonomous Database Actual Free Exam Practice Test
NEW QUESTION # 31
Which two components support in-database automatic machine learning (AutoML) functionality?
- A. OML Services a
- B. OML AutoML UI
- C. OML4SQL
- D. OML4R
- E. OML4Py
- F. Oracle Data Miner
Answer: B,E
NEW QUESTION # 32
Which two types of permissions allow you tables and run any script on an owner's account?
- A. Developer
- B. Manager
- C. Guest
- D. Viewer
Answer: A,B
NEW QUESTION # 33
Which three services can be used to access Oracle Machine Learning Notebooks? (Choose three.)
- A. Autonomous JSON Database
- B. Autonomous Dedicated Infrastructure
- C. Autonomous Transaction Processing
- D. Autonomous Data Warehouse
- E. Oracle Application Express
Answer: A,C,D
Explanation:
Explanation
Oracle Machine Learning Notebooks Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Note-books support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. View interactive product tour Oracle Machine Learning Notebooks with Autonomous Data Warehouse documentation Oracle Machine Learning Notebooks with Autonomous Transaction Processing documentation Oracle Machine Learning Notebooks with Autonomous JSON Database documentation
NEW QUESTION # 34
Which type of user has access to the Oracle Machine Learning User Management interface?
- A. Manager
- B. Guest
- C. Administrator
- D. Developer
Answer: C
NEW QUESTION # 35
An OML AutoML UI Experiment is a work unit that minimally contains the definition of which three options? (Choose three.)
- A. Prediction Target
- B. Parameters
- C. Prediction Type
- D. Algorithm
- E. Data Source
Answer: A,C,E
Explanation:
https://docs.oracle.com/en/database/oracle/machine-learning/oml-automl-ui/amlui/create-experiment.html
NEW QUESTION # 36
Which is a FALSE statement regarding Oracle Machine Learning (OML)?
- A. OML provides univariate and multivariate statistics.
- B. OML provides scalable statistical functions though OML4Py and OML4R.
- C. OML provides integration with open source Python and R statistical analysis functions.
- D. OML offerings need a separate data visualization tool for creating visualization.
Answer: D
NEW QUESTION # 37
Which three services can be used to access Oracle Machine Learning Notebooks? (Choose three.)
- A. Autonomous JSON Database
- B. Autonomous Dedicated Infrastructure
- C. Autonomous Transaction Processing
- D. Autonomous Data Warehouse
- E. Oracle Application Express
Answer: A,C,D
Explanation:
Oracle Machine Learning Notebooks Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Note-books support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. View interactive product tour Oracle Machine Learning Notebooks with Autonomous Data Warehouse documentation Oracle Machine Learning Notebooks with Autonomous Transaction Processing documentation Oracle Ma-chine Learning Notebooks with Autonomous JSON Database documentation.
NEW QUESTION # 38
For which two types of notebooks can you schedule a job?
- A. Notebooks under Shared templates
- B. Notebooks under Personal templates
- C. Notebooks owned by you
- D. Notebooks shared with you
Answer: A,C
NEW QUESTION # 39
What is the correct sequence of function invocations of AutoML API from OML4Py to solve a business problem?
- A. Model selection, Algorithm selection
- B. Model tuning. Algorithm selection. Feature selection
- C. Algorithm selection, Feature selection. Model tuning
- D. Model selection, Algorithm selection
Answer: C
NEW QUESTION # 40
Which category of machine learning algorithms does One-Class SVM fall under?
- A. Clustering
- B. Anomaly Detection
- C. Regression
- D. Classification
Answer: B
Explanation:
https://docs.oracle.com/en/database/oracle/machine-learning/oml4sql/21/mlsql/oracle-machine-learning-sql-guide.pdf
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?
- A. Manager
- B. Developer
- C. Viewer
- D. Editor
Answer: B
NEW QUESTION # 42
To navigate to a specific notebook provided by another user, which is the correct workflow?
- A. Change user > Open notebook > Create project
- B. Create user > Change workspace > Open notebook
- C. Select workspace > Select project > List notebooks > Open notebook
- D. Change project > Change workspace > Open notebook
Answer: C
Explanation:
https://apexapps.oracle.com/pls/apex/dbpm/r/livelabs/view-workshop?wid=891&clear=180&session=109742845155042
NEW QUESTION # 43
Which is NOT a supervised learning algorithm?
- A. Naive Bayes
- B. Support Vector Machines
- C. Decision Tree
- D. Hierarchical K-Means
- E. Stepwise Linear Regression
Answer: A
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4py/1/mlpug/about-machine-learning-algorithm
NEW QUESTION # 44
Which three Oracle Machine Learning (OML) Notebooks capabilities are enabled when an OML user is created with the oml_developer role?
- A. Save scripts to the Python script repository.
- B. Create and execute OML Notebooks.
- C. Transfer OML workspace to other users.
- D. Share notebooks with other OML users.
Answer: A,B,D
NEW QUESTION # 45
Which four actions would typically be performed during the data preparation step for analyzing data with Oracle Machine Learning?
- A. performing feature engineering, such as creating derived variables
- B. data collection from various sources
- C. binning of numeric data
- D. missing value replacement
- E. numeric data normalization
- F. building a machine learning model
Answer: A,B,D,E
NEW QUESTION # 46
Which two templates are supported while saving a notebook?
- A. Personal
- B. Example
- C. Public
- D. Shared
Answer: A,D
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/notebooks-templates.html
NEW QUESTION # 47
For which two types of notebooks can you schedule a job?
- A. Notebooks under Shared templates
- B. Notebooks under Personal templates
- C. Notebooks owned by you
- D. Notebooks shared with you
Answer: C
NEW QUESTION # 48
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?
- A. Maximum Number of Runs
- B. Maximum Failure Allowed
- C. Timeout in Minutes
- D. Minimum Failure Allowed
Answer: B
NEW QUESTION # 49
You want to predict which customers are likely to increase spending if given an additional credit card. Your task is to build a model using demographic and aggregated credit card data for customers who have used similar cards in the past.
Which machine learning technique should you use to achieve this?
- A. Attribute Importance
- B. Regression
- C. Classification
- D. Feature Extraction
Answer: A
NEW QUESTION # 50
Which two statements are true about supervised machine learning?
- A. There is no previously known result to guide the algorithm in building the model.
- B. The learning process is directed by a previously known dependent attribute or target.
- C. It generally results in predictive models.
- D. It does not specify a target, it can be applied to a population of interest.
- E. It is used to extract meaningful insights from raw data to improve data operational efficiency.
Answer: B,C
Explanation:
Explanation
Supervised learning is also known as directed learning. The learning process is directed by a previously known dependent attribute or target. Directed data mining attempts to explain the behavior of the target as a function of a set of independent attributes or predictors. Supervised learning generally results in predictive models. This is in contrast to unsupervised learning where the goal is pattern detection. The building of a supervised model involves training, a process whereby the software analyzes many cases where the target value is already known. In the training process, the model "learns" the logic for making the prediction. For example, a model that seeks to identify the customers who are likely to respond to a promotion must be trained by analyzing the characteristics of many customers who are known to have responded or not responded to a promotion in the past.
https://docs.oracle.com/cd/E18283_01/datamine.112/e16808.pdf
NEW QUESTION # 51
Which notebook technology is used for Oracle Machine Learning in Oracle Autonomous Database?
- A. Jupyter Notebook
- B. Polynote
- C. Zeppelin Notebook
- D. Google Colab
Answer: C
NEW QUESTION # 52
In which format is an Oracle Machine Learning Notebooks notebook saved or exported?
- A. CSV
- B. custom binary format
- C. JSON
- D. XML
Answer: C
NEW QUESTION # 53
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. Admin
- D. Developer
Answer: B
NEW QUESTION # 54
Which three types of templates are available in Oracle Machine Learning Notebooks?
- A. Public templates
- B. Shared templates
- C. Custom templates
- D. Example templates
- E. Personal templates
Answer: B,D,E
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/use-library-collaborate-users
NEW QUESTION # 55
Which step in the AutoML pipeline involves reducing the size of the large data set into a small-er data set that adequately represents the original?
- A. Hyperparameter Tuning
- B. Adaptive Sampling
- C. Model Selection
- D. Algorithm Selection
- E. Feature Selection
Answer: B
Explanation:
https://oralytics.com/2021/03/15/oml4py-automl-an-example/
NEW QUESTION # 56
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The Oracle 1z0-1096-22 exam is a multiple-choice exam consisting of 60 questions. Candidates have two hours to complete the exam. The exam covers various topics, including Oracle Autonomous Database, machine learning algorithms, data preprocessing, model building, and model evaluation. The exam is available in English and Japanese languages.
The Oracle 1z0-1096-22 certification exam is an excellent way for professionals to showcase their skills and knowledge in machine learning. The exam consists of multiple-choice questions that test your knowledge of machine learning concepts and your ability to apply them to real-world scenarios. The exam is designed to be challenging, but with proper preparation, it is achievable.
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