
Oracle 1z0-1110-22最新問題集[2023]高得点を掴み取れ
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Oracle 1Z0-1110-22試験は、Oracle Cloud Infrastructure Data Scienceのスキルと知識を検証したい専門家向けに設計されています。この試験は、機械学習モデルを作成および管理し、クラウドに展開し、それらを使用してデータを分析する候補者の能力をテストすることに焦点を当てています。この試験に合格すると、候補者はOracle Cloud Infrastructure環境で専門のデータサイエンティストとして働くために必要な知識とスキルを持っていることを示しています。
質問 # 21
Which feature of the Oracle Cloud Infrastructure (OCI) Vision service helps you generate in-dexing tags for a collection of marketing photographs?
- A. Text recognition
- B. Key Value extraction
- C. Document classification
- D. Image classification
正解:A
質問 # 22
You have a complex Python code project that could benefit from using Data Science Jobs as it is a repeatable machine learning model training task. The project contains many subfolder and classes. What is the best way to run this project as a job?
- A. Rewrite your code so that a single executable Python or Bash/Shell script file.
- B. ZIP the entire code project folder, upload it as a Job artifact on job creation and set JOB_RUN_ENTRYPOINT to point to the main executable file.
- C. ZIP the entire code project folder and upload it as a Job artifact on job creation, Jobs identities the main executable file automatically.
- D. ZIP the entire code project folder and upload it as a Job artifact Jobs automatically identifies
正解:B
解説:
That main top level where the code is run.
質問 # 23
You have a data set with fewer than 1000 observations, and you are using Oracle AutoML to build a classifier. While visualizing the results of each stage of the Oracle AutoML pipeline, you notice that no visualization has been generated for one of the stages. Which stage is not visualized?
- A. Hyperparameter tuning
- B. Algorithm selection
- C. Adaptive sampling
- D. Feature selection
正解:C
質問 # 24
While reviewing your data, you discover that your data set has a class imbalance. You are aware that the Accelerated Data Science (ADS) SDK provides multiple built-in automatic transformation tools for data set transformation. Which would be the right tool to correct any imbalance between the classes?
- A. auto_transform()
- B. suggeste_recoomendations()
- C. visualize_transforms()
- D. sample()
正解:A
質問 # 25
You are working as a data scientist for a healthcare company. They decide to analyze the data to find patterns in a large volume of electronic medical records. You are asked to build a PySpark solution to analyze these records in a JupyterLab notebook. What is the order of recommended steps to develop a PySpark application in Oracle Cloud Infrastructure (OCI) Data Science?
- A. Launch a notebook session. Configure core-site.xml. Install a PySPark conda environ-ment.
- B. Install a spark conda environment. Configure core-site.xml. Launch a notebook session: Create a Data Flow application with the Accelerated Data Science (ADS) SOK. Develop your PySpark application
- C. Launch a notebook session. Install a PySpark conda environment. Configure coresite. xml.
- D. Configure core-site.xml. Install a PySPark conda environment. Create a Data Flow application with the Accelerated Data Science (ADS) SDK Develop your PySpark ap-plication. Launch a notebook session.
- E. Develop your PySpark application Create a Data Flow application with the Ac-celerated Data Science (ADS) SOK
- F. Develop your PySpark application. Create a Data Flow application with the Ac-celerated Data science (ADS) SDK.
正解:F
質問 # 26
You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image dat a. Which of the following THREE are possible ways to annotate an image in Data Labeling?
- A. Adding a single label to an image.
- B. Adding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.
- C. Adding labels to an image by drawing bounding box to an image, is not supported by Data Labeling
- D. Adding labels to an image using object detection, by drawing bounding boxes to an im-age.
- E. Adding multiple labels to an image.
正解:A、D、E
質問 # 27
You have created a model, and you want to use the Accelerated Data Science (ADS) SDK to deploy this model. Where can you save the artifacts to deploy this model with ADS?
- A. Model Catalog
- B. Data Science Artifactory
- C. OCI Vault
- D. Model Depository
正解:A
質問 # 28
Which of the following TWO non-open source JupyterLab extensions has Oracle Cloud In-frastructure (OCI) Data Science developed and added to the notebook session experience?
- A. Notebook Examples
- B. Environment Explorer
- C. Terminal
- D. Command Palette
- E. Table of Contents
正解:A、B
質問 # 29
The feature type TechJob has the following registered validators: Tech-Job.validator.register(name='is_tech_job', handler=is_tech_job_default_handler) Tech-Job.validator.register(name='is_tech_job', handler= is_tech_job_open_handler, condi-tion=('job_family',)) TechJob.validator.register(name='is_tech_job', handler= is_tech_job_closed_handler, condition=('job_family': 'IT')) When you run is_tech_job(job_family='Engineering'), what does the feature type validator system do?
- A. Execute the is_tech_job_open_handler handler.
- B. Execute the is_tech_job_default_handler sales handler.
- C. Throw an error because the system cannot determine which handler to run.
- D. Execute the is_tech_job_closed_handler handler.
正解:C
質問 # 30
You have an embarrassingly parallel or distributed batch job on a large amount of data running using Data Science Jobs What would be the best approach to run the workload?
- A. Create the job in Data Science Jobs and then start the number of simultaneous job runs required for your workload.
- B. Create a new job for every job run that you have to run in parallel, because the Date Science Jobs service can have only one job run per job.
- C. Create the job in Data Science Jobs and start a job run. When it is done, start a new job run until you achieve the number of runs required.
- D. Reconfigure the job run because Data science jobs does not support embarrassingly parallel.
正解:A
質問 # 31
You trained a model to predict housing prices for your city. Which two metrics from the Ac-celerated Data Science (ADS) Evaluation class can be used to evaluate the regression model you just trained?
- A. F-1 Score
- B. Weighted Precision
- C. Mean Absolute Error
- D. Explained Variance Score
- E. Weighted Recall
正解:C、D
質問 # 32
You are attempting to save a model from a notebook session to the model catalog by using the Accelerated Data Science (ADS) SDK, with resource principal as the authentication signer, and you get a 404 authentication error. Which TWO should you look for to ensure permissions are set up correctly?
- A. The networking configuration allows access to the Oracle Cloud Infrastructure (OCI) services through a Service Gateway.
- B. The model artifact is saved to the block volume of the notebook session.
- C. The policy for the dynamic group grants manages permissions for the model catalog in this compartment.
- D. The policy for your user group grants manage permissions for the model catalog in this compartment.
- E. The dynamic group's matching rule exists for notebook sessions in this compartment.
正解:C、D
質問 # 33
You are a data scientist using Oracle AutoML to produce a model and you are evaluating the score metric for the model. Which of the following TWO prevailing metrics would you use for evaluating multiclass classification model?
- A. R-Squared
- B. Recall
- C. F1 Score
- D. Mean squared error
- E. Explained variance score
正解:B、C
質問 # 34
You are a data scientist with a set of text and image files that need annotation, and you want to use Oracle Cloud Infrastructure (OCI) Data Labeling. Which of the following THREE an-notation classes are supported by the tool.?
- A. Named Entity Extraction
- B. Object Detection
- C. Polygonal Segmentation
- D. Classification (single/multi label)
- E. Key-Point and Landmark
- F. Semantic Segmentation
正解:A、B、D
質問 # 35
You have received machine learning model training code, without clear information about the optimal shape to run the training on. How would you proceed to identify the optimal compute shape for your model training that provides a balanced cost and processing time?
- A. Start with the strangest compute shape Jobs support and monitor the Job Run metrics and time required to complete the model training. Tune the model so that it utilizes as much compute resources as possible, even at an increased cost.
- B. Start with a random compute shape and monitor the utilization metrics and time required to finish the model training Perform model training optimizations and performance tests in advance to identify the right compute shape before running the model training as a job.
- C. Start with a smaller shape and monitor the Job Run metrics and time required to complete the model training: If the compute shape is not fully utilized, tune the model parameters, and rerun the job. Repeat the process until the shape resources are fully utilized.
- D. Start with a smaller shape and monitor the utilization metrics and time required to complete the model training. If the compute shape is fully utilized, change to compute that has more resources and re-run the job. Repeat the process until the processing time does not improve.
正解:D
質問 # 36
You have developed a model training code that regularly checks for new data in Object Storage and retrains the model. Which statement best describes the Oracle Cloud Infrastructure (OCI) services that can be accessed from Data Science Jobs?
- A. Data Science Jobs cannot access all OCI services.
- B. Data Science Jobs can access OCI resources only via the resource principal.
- C. Data Science Jobs can access all OCI services.
- D. Some OCI services require authorizations not supported by Data Science Jobs.
正解:C
質問 # 37
You want to evaluate the relationship between feature values and model predictions. You sus-pect that some of the features are correlated. Which model explanation technique would you recommend?
- A. Feature Dependence Explanations.
- B. Local Interpretable Model-Agnostic Explanations.
- C. Accumulated Local Effects.
- D. Feature Permutation Importance Explanations.
正解:B
質問 # 38
You have trained three different models on your data set using Oracle AutoML. You want to visualize the behavior of each of the models, including the baseline model, on the test set. Which class should be used from the Accelerated Data Science (ADS) SDK to visually compare the models?
- A. ADSTuner
- B. ADS Explainer
- C. EvaluationMetrics
- D. ADS Evaluator
正解:C
質問 # 39
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Oracle 1Z0-1110-22認定試験は、データサイエンスのためにOracle Cloud Infrastructureを利用する専門知識を実証したい専門家向けに設計されています。この認定は、さまざまなツールやテクノロジーを使用して、クラウドベースのデータサイエンス環境で作業する方法についての包括的な理解を提供します。この試験では、データ探索、機能エンジニアリング、モデルトレーニング、モデル評価、Oracle Cloud Infrastructureを使用した機械学習モデルの展開など、幅広いトピックについて説明します。
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