[2023年04月19日] 合格させるOracle 1z0-1096-22試験情報と無料練習テスト
1z0-1096-22試験問題集PDF更新された問題集にはFast2test試験合格保証付き
Oracle 1z0-1096-22試験は、Oracle Machine Learning with Autonomous Databaseを使用する専門家の専門知識をデモンストレーションするために設計された認定試験です。この試験は、機械学習アルゴリズム、データ探索、モデル評価および展開など、幅広いトピックをカバーしています。この試験に合格することは、専門家がこの急速に成長する分野でのスキルと知識を披露する絶好の機会です。
質問 # 41
How can you share a notebook with multiple developers for a collaborative effort with notebook editing?
- A. You create different notebooks, edit separately, and merge later.
- B. You can share notebooks if you have Viewer permissions.
- C. You can share notebooks if you have Developer permissions.
- D. Notebooks cannot be shared for collaborating with other users.
正解：C
質問 # 42
You want to analyze the spike in sales during weekends in India (Saturday and Sunday) and also perform a similar analysis for weekends in Dubai (Friday and Saturday). You will be reusing these notebooks in similar situations over time. You do not want to share them with other users.
Which template should you use?
- A. Public
- B. Shared
- C. Example
- D. Personal
正解：D
質問 # 43
Which task is NOT required by an Administrator when adding a new user to Oracle Machine Leamina (OML) Notebooks?
- A. Add the user's full name and email ID in the Oracle Machine Learning Management User Interface.
- B. Provide the user with an Autonomous Data Warehouse client wallet for remote authentication.
- C. Create an OML username and password for the user in the Oracle Machine Learning Management User Interface.
- D. Issue grant commands on the database to allow access to the tables associated with the user's Oracle Machine Learning Notebooks.
正解：A
質問 # 44
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. Model Selection
- B. Hyperparameter Tuning
- C. Feature Selection
- D. Adaptive Sampling
- E. Algorithm Selection
正解：D
解説：
https://oralytics.com/2021/03/15/oml4py-automl-an-example/
質問 # 45
In which three use cases are Oracle Machine Learning algorithms suitable?
- A. Graph analytics
- B. Anomaly and fraud detection
- C. Medical outcome analysis
- D. Customer segmentation
- E. Speech recognition
正解：A、B、D
質問 # 46
Which type of user has access to the Oracle Machine Learning User Management interface?
- A. Manager
- B. Guest
- C. Developer
- D. Administrator
正解：D
質問 # 47
Which feature of Oracle Machine Learning Notebooks should you use for data analysis, data discovery, data visualization, and collaboration on Oracle Autonomous Database?
- A. Job
- B. Project
- C. Notebook
- D. Workspace
正解：C
質問 # 48
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. Connect to the Database
- B. Create a compartment
- C. Create an ML notebook
- D. Create an OML user
正解：D
解説：
https://docs.oracle.com/en/cloud/paas/autonomous-database/oml-tour/
質問 # 49
Which two templates are supported while saving a notebook?
- A. Public
- B. Shared
- C. Example
- D. Personal
正解：B、D
解説：
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/notebooks-templates.html
質問 # 50
What is the proper workflow for analyzing data in Oracle Machine Learning?
- A. Prepare the data, build the model, evaluate the model, and deploy the model.
- B. Evaluate the model, prepare the data, build the model, and deploy the model.
- C. Build the model, prepare the data, evaluate the model, and deploy the model.
- D. Get predictions from the model, prepare the data, build the model, and deploy the model
正解：C
質問 # 51
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. Shared Notebook
- B. Personal Notebook
- C. Public Notebook
- D. Example notebook
正解：A
質問 # 52
Which machine learning algorithm allows the system to identify patterns within data sets on its own?
- A. Reinforcement Learning
- B. Supervised Learning
- C. Semi-supervised 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 # 53
Which two statements are true about supervised machine learning?
- A. It does not specify a target, it can be applied to a population of interest.
- B. There is no previously known result to guide the algorithm in building the model.
- C. It is used to extract meaningful insights from raw data to improve data operational efficiency.
- 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：
https://docs.oracle.com/cd/F32587_01/dmcon/oracle-machine-learning-sql-concepts.pdf
質問 # 54
Which two components support in-database automatic machine learning (AutoML) functionality?
- A. OML Services a
- B. OML4Py
- C. OML4SQL
- D. Oracle Data Miner
- E. OML4R
- F. OML AutoML UI
正解：B、F
質問 # 55
An OML AutoML UI Experiment is a work unit that minimally contains the definition of which three options? (Choose three.)
- A. Prediction Target
- B. Prediction Type
- C. Algorithm
- D. Data Source
- E. Parameters
正解：A、B、D
解説：
https://docs.oracle.com/en/database/oracle/machine-learning/oml-automl-ui/amlui/create-experiment.html
質問 # 56
Which notebook technology is used for Oracle Machine Learning in Oracle Autonomous Database?
- A. Google Colab
- B. Zeppelin Notebook
- C. Polynote
- D. Jupyter Notebook
正解：B
質問 # 57
Which three services can be used to access Oracle Machine Learning Notebooks? (Choose three.)
- A. Autonomous Dedicated Infrastructure
- B. Autonomous Transaction Processing
- C. Autonomous Data Warehouse
- D. Autonomous JSON Database
- E. Oracle Application Express
正解：B、C、D
解説：
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
質問 # 58
Which three actions can be performed by an Administrator in Oracle Machine Learning (OML) Notebooks?
- A. View notebooks.
- B. Create, run and delete notebooks.
- C. Create, edit and delete OML users.
- D. Create and run jobs.
- E. Reassign workspaces to users.
正解：A、C、D
質問 # 59
Which output formats are supported by the SET SQLFORMAT command? (Choose three.)
- A. JSON
- B. TXT
- C. CSV
- D. HTML
正解：A、C、D
解説：
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/output-formats-supported-set
質問 # 60
Which is NOT a supervised learning algorithm?
- A. Support Vector Machines
- B. Decision Tree
- C. Hierarchical K-Means
- D. Stepwise Linear Regression
- E. Naive Bayes
正解：E
解説：
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4py/1/mlpug/about-machine-learning-algorithm
質問 # 61
You are tasked with building a predictive model that can estimate the price of houses, based on attributes like number of rooms, square-footage (size), location, neighborhood attributes, year built among others.
Which three algorithms can you use to produce such a model with Oracle Machine Learning?
- A. Explicit Semantic Analysis
- B. Support Vector Machine (Regression)
- C. Generalized Linear Model (Classification)
- D. Generalized Linear Model (Regression)
- E. Neural Networks (Regression)
- F. One-Class Support Vector Machine
正解：A、D、F
質問 # 62
Which three types of permissions can be granted to a user to collaborate and access a workspace in Oracle Machine Learning Notebooks?
- A. Viewer
- B. Developer
- C. Guest
- D. Manager
- E. Administrator
正解：A、B、D
解説：
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/workspace-permissions.html
質問 # 63
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試験は主に3つのセクションに分かれています。機械学習の概念、Oracle Autonomous Database、Oracle Autonomous Databaseにおける機械学習です。機械学習の概念セクションでは、データ準備、モデル選択、フィーチャーエンジニアリング、モデル評価などのトピックをカバーしています。Oracle Autonomous Databaseセクションでは、自律型データベースのプロビジョニング、セキュリティの管理、バックアップの管理などのトピックをカバーしています。Oracle Autonomous Databaseにおける機械学習のセクションでは、Oracleの機械学習サービスを使った機械学習モデルの構築、機械学習モデルの展開、および他のアプリケーションと機械学習モデルの統合などのトピックをカバーしています。
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