[2024年04月] 学習材料には有効な1z0-1096-23効率的問題集！
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質問 # 33
Which of the following is not type of a workspace permission that can be granted to other us-ers?
- A. Developer
- B. Viewer
- C. Contributor
- D. Manager
正解：C
解説：
* Contributor is not a type of workspace permission that can be granted to other users in Oracle Machine Learning Notebooks1.
* The types of workspace permissions that can be granted to other users are Manager, Developer, and Viewer1.
* Manager is a user role that allows users to perform all the tasks of a Developer as well as manage other users' workspaces and permissions1.
* Developer is a user role that allows users to create and run notebooks, run SQL statements, create SQL scripts, run Python scripts, create jobs to schedule and run notebooks, use example template notebooks, create and run AutoML experiments, and deploy models1.
* Viewer is a user role that allows users to view notebooks but not run or modify them1
質問 # 34
Which two can be performed by an Administrator in Oracle Machine Learning Notebooks? (Choose two.)
- A. View notebooks in read-only mode
- B. Run noteboooks
- C. Reassign user workspace
- D. Manage any notebook
正解：A、C
解説：
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/administer-oracle-machine-le
質問 # 35
Which type of user has access to the Oracle Machine Learning User Management interface?
- A. Developer
- B. Administrator
- C. Guest
- D. Manager
正解：B
解説：
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4sql/21/mlsql/access-autonomous-database.htm
質問 # 36
Which machine learning algorithm allows the system to identify patterns within data sets on its own?
- A. Semi-supervised Learning
- B. Supervised Learning
- C. Reinforcement Learning
- D. Unsupervised Learning
正解：D
解説：
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4sql/21/mlsql/oracle-machine-learning-sql-guid
質問 # 37
Which two Oracle Cloud services are Integrated with Oracle Machine Learning? (Choose two.)
- A. Oracle Autonomous Database
- B. Oracle GoldenGate
- C. Oracle Analytics Cloud
- D. Oracle Stream Analytics
正解：A、C
解説：
* Oracle Analytics Cloud and Oracle Autonomous Database are two Oracle Cloud services that are integrated with Oracle Machine Learning12.
* Oracle Analytics Cloud is a comprehensive cloud service that provides a unified platform for data preparation, analysis, visualization, and machine learning. It supports Oracle Machine Learning Notebooks, which enable data scientists and other data professionals to work collaboratively using SQL, PL/SQL, Python, and R1.
* Oracle Autonomous Database is a self-driving, self-securing, and self-repairing cloud service that supports various workloads such as data warehousing, transaction processing, and JSON document storage. It includes Oracle Machine Learning Services, which enable users to build, deploy, and manage machine learning models using REST APIs2.
質問 # 38
Which task is NOT required by an Administrator when adding a new user to Oracle Ma-chine Leamina (OML) Notebooks?
- A. Issue grant commands on the database to allow access to the tables associated with the user's Oracle Machine Learning Notebooks.
- B. Provide the user with an Autonomous Data Warehouse client wallet for remote authentication.
- C. Add the user's full name and email ID in the Oracle Machine Learning Management User Interface.
- D. Create an OML username and password for the user in the Oracle Machine Learning Management User Interface.
正解：B
解説：
* The task that is NOT required by an administrator when adding a new user to Oracle Machine Learning Notebooks is providing the user with an Autonomous Data Warehouse client wallet for remote authentication3.
* The client wallet is only needed for remote access to the database using tools such as SQL Developer or Python. For accessing Oracle Machine Learning Notebooks, the user only needs an OML username and password, which are created by the administrator in the Oracle Machine Learning User Management interface3.
質問 # 39
Which three data sources can be immediately used for model building in Oracle Machine Learning? (Choose three.)
- A. CSV files
- B. Oracle Database External tables
- C. JSON files
- D. Oracle Database views
- E. Oracle Database tables
正解：A、C、E
解説：
Explanation
The three data sources that can be immediately used for model building in Oracle Machine Learning are:
Oracle Database tables: Oracle Machine Learning can directly access and use data from tables within an Oracle Database for model building. This allows for efficient utilization of the database's structured data for machine learning tasks. Oracle Database views: Similar to tables, Oracle Machine Learning can also utilize data from database views. Views provide a virtual representation of the data, allowing users to access and analyze specific subsets or transformations of the underlying tables. CSV files: Oracle Machine Learning supports the use of CSV (Comma-Separated Values) files as a data source for model building. CSV files provide a simple and widely-used format for storing tabular data, making it easy to import and use within Oracle Machine Learning. Therefore, the correct options are: Oracle Database tables Oracle Database views CSV files
質問 # 40
In which format is an Oracle Machine Learning Notebooks notebook saved or exported?
- A. custom binary format
- B. JSON
- C. XML
- D. CSV
正解：B
解説：
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/notebooks.html
質問 # 41
Which four statements are true about Oracle Machine Learning on Oracle Autonomous Database? (Choose four.)
- A. It is deployed with Oracle Data Miner.
- B. It provides a collaborative web-based notebook interface.
- C. It provides an interface to monitor a database.
- D. It provides a development environment to build models and score data.
- E. It includes parallelized in-database algorithms.
- F. It enables data analytics, data discovery, and data visualizations.
正解：B、D、E、F
解説：
Explanation
https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/autonomous-oml.html#GUID-63F2D68B-6D
質問 # 42
Which three types of templates are available in Oracle Machine Learning Notebooks? (Choose three.)
- A. Personal templates
- B. Example templates
- C. Public templates
- D. Shared templates
- E. Custom templates
正解：A、B、D
解説：
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/use-library-collaborate-users
質問 # 43
Which category of machine learning algorithms does One-Class SVM fall under?
- A. Classification
- B. Anomaly Detection
- C. Clustering
- D. Regression
正解：B
解説：
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4sql/21/mlsql/oracle-machine-learning-sql-guid
質問 # 44
Which type of machine learning algorithm is used to deal with noise in incoming data?
- A. Classification
- B. Dimensionality Reduction
- C. Clustering
- D. Regression
正解：B
解説：
Explanation
https://blogs.oracle.com/machinelearning/post/using-svd-for-dimensionality-reduction
質問 # 45
Which three tasks can be performed by an Oracle Machine Learning (OML) user with the Developer role?
(Choose three.)
- A. Create other OML users.
- B. Create and run scratchpads.
- C. Create and run OML notebooks.
- D. Share notebooks.
- E. Transfer OML workspace to other users.
- F. Edit Example templates.
正解：C、D、E
解説：
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/administer-oracle-machine-le
質問 # 46
A user with Developer permission is trying to create a job on an existing notebook that is shared. However, the user is unable to do so. What is the reason?
- A. A developer cannot create jobs for notebooks that are shared.
- B. The specified job already exists.
- C. The notebook contains code with syntax errors, which need to be corrected first.
- D. The user requires the Create Job role.
正解：D
解説：
* The reason why a user with Developer permission is unable to create a job on an existing notebook that is shared is that the user requires the Create Job role1.
* The Create Job role is a database role that grants the privilege to create and manage jobs on Oracle Machine Learning Notebooks. This role is not granted by default to any user, including the ADMIN user. An administrator needs to explicitly grant this role to users who need to create jobs1
質問 # 47
Which two statements are true about supervised machine learning? (Choose two.)
- A. There is no previously known result to guide the algorithm in building the model.
- B. It is used to extract meaningful insights from raw data to improve data operational efficiency.
- C. It does not specify a target, it can be applied to a population of interest.
- D. It generally results in predictive models.
- E. The learning process is directed by a previously known dependent attribute or target.
正解：D、E
解説：
Explanation
https://docs.oracle.com/cd/F32587_01/dmcon/oracle-machine-learning-sql-concepts.pdf
質問 # 48
What is the correct sequence of creating items in Oracle Machine Learning (OML) Note-books when setting up a new Autonomous Database instance?
- A. OML User, Notebook, Job
- B. Workspace, OML User, Notebook, Jobs
- C. Job, Project, Workspace, Notebook
- D. Notebook, Job, Project, OML User
正解：B
解説：
* The correct sequence of creating items in Oracle Machine Learning Notebooks when setting up a new Autonomous Database instance is Workspace, OML User, Notebook, Jobs1.
* A workspace is a logical container for organizing and managing notebooks, jobs, and projects. A workspace can be shared by multiple users with different roles and permissions1.
* An OML user is a database user who has access to Oracle Machine Learning Notebooks. An administrator needs to create an OML username and password for each user in the Oracle Machine Learning User Management interface2.
* A notebook is a document that contains SQL, PL/SQL, Python, or R code, as well as text, images, charts, and graphs. A notebook can be used for data exploration, data visualization, data preparation, and machine learning3.
* A job is a scheduled execution of a notebook or a script. A job can run on a recurring schedule or on demand. A job can also send notifications to users via email or webhooks4.
質問 # 49
You are using Oracle Machine Learning with Autonomous Database for the first time. After creating an Autonomous Database, what is the next step that you have to perform?
- A. Create a compartment
- B. Create an OML user
- C. Connect to the Database
- D. Create an ML notebook
正解：B
解説：
Explanation
https://docs.oracle.com/en/cloud/paas/autonomous-database/oml-tour/
質問 # 50
Which feature of Oracle Machine Learning Notebooks should you use for data analysis, da-ta discovery, data visualization, and collaboration on Oracle Autonomous Database?
- A. Job
- B. Workspace
- C. Notebook
- D. Project
正解：C
解説：
Explanation
https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/create-notebooks-oml.html#GUID-0F489564
質問 # 51
Which notebook technology is used for Oracle Machine Learning in Oracle Autonomous Database?
- A. Zeppelin Notebook
- B. Polynote
- C. Google Colab
- D. Jupyter Notebook
正解：A
解説：
Explanation
Oracle Machine Learning Notebooks is an Apache Zeppelin-based collaborative web-based inter-face that provides a development environment to create machine learning notebooks where you can perform data exploration and visualizations, data preparation and machine learning.
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/get-started-oracle-machine-le
質問 # 52
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