2023年最新の保証された成功できる1z0-1096-23問題集でOracleのPDF問題
格別な練習Oracle Machine Learning using Autonomous Database 2023 Associate問題集で最速合格させます
質問 # 19
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. The user requires the Create Job role.
- B. The specified job already exists.
- C. The notebook contains code with syntax errors, which need to be corrected first.
- D. A developer cannot create jobs for notebooks that are shared.
正解：A
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 # 20
You want to segment your customer data for marketing reseach purposes and identify homogeneous groups to build supervised models. What should you use to achieve this?
- A. Classification
- B. Regression
- C. Feature Extraction
- D. Clustering
正解：D
解説：
* To segment your customer data for marketing research purposes and identify homogeneous groups to build supervised models, you should use clustering12.
* Clustering is a type of unsupervised machine learning that groups data points based on their similarities in terms of features or attributes. Clustering can help discover the underlying structure of the data and reveal the natural segments or categories within it12.
* Clustering can be useful for marketing research because it can help identify different types of customers based on their demographics, preferences, behaviors, or needs. Clustering can also help create customer profiles or personas that can be used to target specific segments with tailored marketing campaigns or offers12.
* Clustering can also be used as a preliminary step for building supervised models, such as classification or regression. By using the cluster labels as an additional feature or a target variable, supervised models can learn from the cluster information and improve their accuracy or performance12.
質問 # 21
In which three use cases are Oracle Machine Learning algorithms suitable? (Choose three.)
- A. Graph analytics
- B. Speech recognition
- C. Customer segmentation
- D. Medical outcome analysis
- E. Anomaly and fraud detection
正解：C、D、E
解説：
* Oracle Machine Learning algorithms are suitable for various use cases that involve data analysis, prediction, classification, clustering, association, and feature extraction56.
* Three use cases that are suitable for Oracle Machine Learning algorithms are:
* Medical outcome analysis: This is a use case that involves predicting the outcome of a medical treatment or procedure based on patient characteristics and medical history. Oracle Machine Learning algorithms such as Generalized Linear Models, Support Vector Machines, or Neural Networks can be used for this task.
* Anomaly and fraud detection: This is a use case that involves identifying unusual or suspicious patterns or behaviors in data that may indicate fraud, abuse, or errors. Oracle Machine Learning algorithms such as One-Class Support Vector Machines, Anomaly Detection, or Principal Component Analysis can be used for this task.
* Customer segmentation: This is a use case that involves grouping customers based on their similarities in terms of demographics, preferences, behaviors, or needs. Oracle Machine Learning algorithms such as K-Means, Expectation Maximization, or Non-Negative Matrix Factorization can be used for this task.
質問 # 22
Which type of machine learning algorithm is used to deal with noise in incoming data?
- A. Dimensionality Reduction
- B. Classification
- C. Clustering
- D. Regression
正解：A
解説：
Explanation
https://blogs.oracle.com/machinelearning/post/using-svd-for-dimensionality-reduction
質問 # 23
Which is a FALSE statement regarding Oracle Machine Learning (OML)?
- A. OML provides scalable statistical functions though OML4Py and OML4R.
- B. OML offerings need a separate data visualization tool for creating visualization.
- C. OML provides univariate and multivariate statistics.
- D. OML provides integration with open source Python and R statistical analysis functions.
正解：B
解説：
* A false statement regarding Oracle Machine Learning (OML) is that OML offerings need a separate data visualization tool for creating visualization56.
* OML does not need a separate data visualization tool for creating visualization because it provides various options for visualizing data and models within its offerings. For example, OML Notebooks support interactive charts and graphs using Plotly and Matplotlib libraries for Python and R.
OML SQL also supports native SQL functions for creating histograms, scatter plots, box plots, and more
質問 # 24
Which three statements are true about unsupervised machine learning? (Choose three.)
- A. It can be used as a preliminary step for supervised algorithms.
- B. It uses unlabeled data.
- C. There is no previously known result to guide the algorithm in building the model.
- D. It analyzes cases where the target value is already known.
正解：A、B、C
解説：
* Unsupervised machine learning is a type of machine learning in which algorithms learn patterns exclusively from unlabeled data34. Unsupervised learning algorithms discover hidden structures or groupings in the data without any supervision or guidance from human experts34.
* Three statements that are true about unsupervised machine learning are:
* There is no previously known result to guide the algorithm in building the model. Unsupervised learning algorithms do not have any predefined target variable or outcome to optimize. They rely on the intrinsic properties of the data to find meaningful patterns or clusters34.
* It can be used as a preliminary step for supervised algorithms. Unsupervised learning algorithms can be useful for exploratory data analysis, feature extraction, dimensionality reduction, or data preprocessing before applying supervised learning algorithms34.
* It uses unlabeled data. Unsupervised learning algorithms do not require any labeled data or annotations to learn from. They can work with raw or unstructured data such as text, images, audio, or video34.
質問 # 25
Which three statements are true about Oracle Machine Learning Notebooks? (Choose three.)
- A. It is used to access machine learning algorithms.
- B. It is used to manage and monitor database objects.
- C. It is used for data preparation and exploration.
- D. It provides a web-based interface for data analysis.
- E. It is used to create low-code applications.
正解：A、C、D
解説：
Explanation
https://www.doag.org/formes/pubfiles/13151859/OE-DAC-Oracle-Machine-Learning-Overview-Whats-New-Cu
質問 # 26
Examine the command: %script SET SQLFORMAT ANSICONSOLE What is the output of a query if this SQLFORMAT is set?
- A. It formats and resizes the output columns to the width of the data to save space.
- B. It formats the output columns to return ANSI characters.
- C. It formats the output columns to Add ANSI characters as the delimiter string.
- D. It formats output columns with fixed-width columns with data enclosed in double quotation marks.
正解：A
解説：
Explanation
https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/omlug/output-formats-supported-set-sq
質問 # 27
In an Oracle Machine Learning notebook, which is the correct syntax for starting a SQL script in Scratchpad?
- A. "$sql"
- B. "#sql"
- C. "@sql"
- D. "%sql"
正解：D
解説：
Explanation
%sql - Allows you to run SQL statements. Use the Scratchpad The Scratchpad provides you convenient one-click access to a notebook for running SQL statements, PL/SQL scripts, and Python scripts that can be renamed. The Scratchpad is available on the Oracle Machine Learning Notebooks home page. Note: The Scratchpad is a regular notebook that is prepopulated with three paragraphs - %sql, %script, and %python.
After you run your scripts, the Scratchpad is automatically saved as a notebook by the default name Scratchpad in the Notebooks page. You can access it later in the Notebooks page. You can run all the paragraphs together or one paragraph at a time. To open and use the scratchpad, click Scratchpad on the Oracle Machine Learning Notebooks home page under Quick Actions. The Scratchpad opens. The Scratchpad has three paragraphs each with the following directives:%sql - Allows you to run SQL statements.%script - Allows you to run PL/SQL scripts.%python - Allows you to run Python scripts.
質問 # 28
Which option would you use to load data from Object Storage into an Oracle Autonomous Database?
- A. Expdp
- B. DBMS_Cloud package
- C. Oracle SQL Developer Web
- D. SQL*Loader
正解：B
解説：
Explanation
About Data Loading: Autonomous Database provides the following loading options: You can load data using Oracle Database Actions. You can load data using Oracle Database tools and Oracle or other 3rd party data integration tools. On transaction processing systems you traditionally ingest data through routine transactions or with DML operations. In general you load data from files local to your client computer or from files stored in a cloud-based object store. To load data from files in the cloud, use either Oracle Database Actions or use the Autonomous Database PL/SQL package DBMS_CLOUD to load files from the cloud. For the fastest data loading experience Oracle recommends uploading the source files to a cloud-based object store, such as Oracle Cloud Infrastructure Object Storage, before loading the data into your database. Oracle provides support for loading files that are located locally in your data center, but when using this method of data loading you should factor in the transmission speeds across the Internet which may be significantly slower. For more information on Oracle Cloud Infrastructure Object Storage, see Putting Data into Object Storage and Overview of Object Storage. Note: If you are not using ADMIN user, ensure the user has the necessary privileges for the operations the user needs to perform. See Manage User Privileges on Autonomous Database - Connecting with a Client Tool for more information.
質問 # 29
To navigate to a specific notebook provided by another user, which is the correct workflow?
- A. Select workspace > Select project > List notebooks > Open notebook
- B. Change user > Open notebook > Create project
- C. Change project > Change workspace > Open notebook
- D. Create user > Change workspace > Open notebook
正解：A
解説：
Explanation
https://apexapps.oracle.com/pls/apex/dbpm/r/livelabs/view-workshop?wid=891&clear=180&session=109742845
質問 # 30
What are three key features of Oracle Machine Learning Notebooks? (Choose three.)
- A. They support SQL, PL/SQL, JavaScript, and PHP scripting languages.
- B. They enable job scheduling of notebooks on a recurring schedule.
- C. They support integration with Oracle Data Miner-ID
- D. They enable access to in database implementation of machine learning algorithms.
- E. They provide a collaborative notebook interface on Oracle Autonomous Database.
正解：B、D、E
解説：
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/
質問 # 31
You have created an Oracle Machine Learning notebook and want to share it with another collaborator.
However, you do not want to provide the ability to run or modify the notebook in your workspace. Which three options can be used to do this? (Choose three.)
- A. Provide the user Viewer permission to your workspace
- B. Provide the user Developer permission to your workspace.
- C. Share the notebook as a Shared Oracle Machine Learning Template
- D. Export the notebook and import it into the other user's project
正解：A、C、D
解説：
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/collaborate-oracle-machine-l
質問 # 32
Which three Oracle Machine Learning (OML) components are available with Oracle Autonomous Database?
(Choose three.)
- A. OML4SQL
- B. OML Notebooks
- C. OML4R
- D. OML Services
- E. Oracle Data Miner
正解：A、B、D
解説：
* The three Oracle Machine Learning (OML) components that are available with Oracle Autonomous Database are OML Notebooks, OML4SQL, and OML Services2.
* OML Notebooks are web-based interfaces for data analysis, data discovery, data visualization, and collaboration based on Apache Zeppelin notebook technology. They support SQL, PL/SQL, Python, R,
* and markdown interpreters on Oracle Autonomous Database2.
* OML4SQL is a set of in-database machine learning algorithms and SQL functions that enable data exploration, data preparation, model building, evaluation, and deployment using SQL and PL/SQL on Oracle Autonomous Database2.
* OML Services are RESTful web services that enable users to build, deploy, and manage machine learning models using REST APIs on Oracle Autonomous Database. They support native in-database models and ONNX-format models for classification, regression, and clustering2
質問 # 33
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. Project
- B. Notebook
- C. Workspace
- D. Job
正解：B
解説：
Explanation
https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/create-notebooks-oml.html#GUID-0F489564
質問 # 34
An OML AutoML UI Experiment is a work unit that minimally contains the definition of which three options?
(Choose three.)
- A. Algorithm
- B. Data Source
- C. Prediction Target
- D. Prediction Type
- E. Parameters
正解：B、C、D
解説：
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-automl-ui/amlui/create-experiment.html
質問 # 35
How can you share a notebook with multiple developers for a collaborative effort with note-book editing?
- A. Notebooks cannot be shared for collaborating with other users.
- B. You can share notebooks if you have Viewer permissions.
- C. You can share notebooks if you have Developer permissions.
- D. You create different notebooks, edit separately, and merge later.
正解：C
解説：
Explanation
You can also collaborate by exporting your notebook as a JSON or JavaScript Object Notation file. This exported file can be imported into the same or different environment. To export a notebook as a JSON file, open the notebook in the notebook editor, click on the Export icon. A Save As dialog will open where you can specify the name of the JSON file and location on your system.
質問 # 36
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. Minimum Failure Allowed
- C. Timeout in Minutes
- D. Maximum Failure Allowed
正解：D
解説：
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/get-started-jobs.html#GUID-
質問 # 37
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. Algorithm Selection
- B. Adaptive Sampling
- C. Feature Selection
- D. Hyperparameter Tuning
- E. Model Selection
正解：B
解説：
Explanation
https://oralytics.com/2021/03/15/oml4py-automl-an-example/
質問 # 38
What is the correct sequence of function invocations of AutoML API from OML4Py to solve a business problem?
- A. Algorithm selection, Feature selection. Model tuning
- B. Model selection, Algorithm selection
- C. Model selection, Algorithm selection
- D. Model tuning. Algorithm selection. Feature selection
正解：A
解説：
Explanation
https://www.doag.org/formes/pubfiles/13151859/OE-DAC-Oracle-Machine-Learning-Overview-Whats-New-Cu
質問 # 39
Which two statements are true about Classification algorithms? (Choose two.)
- A. They extract rules using unsupervised learning.
- B. They assign cases to target categories.
- C. They predict numeric values along a continuum.
- D. They require known outcomes to guide the learning process.
正解：B、D
解説：
* Classification algorithms are supervised learning methods that assign cases to target categories based on a set of input features12. For example, a classification algorithm can predict whether an email is spam or not based on its content and sender.
* Classification algorithms require known outcomes to guide the learning process, which means they need labeled data for training and evaluation12. For example, a classification algorithm can learn from a set of emails that are already labeled as spam or not by humans
質問 # 40
Two users at different locations are collaborating on a project by editing the same notebook. Which type of notebook should they use for collaboration?
- A. Example notebook
- B. Shared Notebook
- C. Public Notebook
- D. Personal Notebook
正解：B
解説：
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/use-library-collaborate-users Use Templates to Collaborate with Users In the Oracle Machine Learning Templates UI, you can collaborate with other users by sharing your work, publishing your work as reports, and by creating notebooks from tem-plates. You can store your notebooks as templates, share notebooks, and provide sample templates to other users. Note: You can also collaborate with other Oracle Machine Learning Notebook users by providing access to your workspace. The authenticated user can then access the projects in your workspace, and access your notebooks. The access level depends on the permission type granted - Manager, Developer, or Viewer.
For more information about collaboration among users, see
unre-solvable-reference.html#GUID-7079D42F-9308-4BEF-B2F2-E74E49A22A87 Use the Personal Templates Personal Templates lists the notebook templates that you have created. Use the Shared Templates In the Shared Templates, you can share notebook templates with all authenticated users the notebook templates you create from existing notebooks available in Templates. Use the Example Templates The Example Templates page lists the pre-populated Oracle Machine Learning notebook templates. You can view and use these templates to create your notebooks.
質問 # 41
Which machine learning algorithm allows the system to identify patterns within data sets on its own?
- A. Supervised Learning
- B. Unsupervised Learning
- C. Semi-supervised Learning
- D. Reinforcement Learning
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 # 42
Which three types of templates are available in Oracle Machine Learning Notebooks? (Choose three.)
- A. Personal templates
- B. Shared templates
- C. Custom templates
- D. Example templates
- E. Public 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
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