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Oracle 1z0-1110-22認定試験は、Oracle Cloud Infrastructure上のデータサイエンスプロジェクトで作業するデータサイエンティスト、機械学習エンジニア、およびその他のプロフェッショナルを対象としています。この認定は、個人がこの分野でのスキルと知識を検証する方法を提供し、彼らのキャリアを前進させるのに役立ちます。また、データサイエンスプロジェクトにOracle Cloud Infrastructureを使用する企業は、この分野で最高レベルの専門知識を確保するために認定されたプロフェッショナルを雇用または協力することを好む場合があります。
Oracle 1z0-1110-22 認定試験は、Oracle Cloud Infrastructureでの作業やデータサイエンスアプリケーションの開発に必要なスキルと知識を提供することを目的としています。この試験では、データの準備、モデルの開発と展開、モデルパフォーマンスの最適化やセキュリティなどの高度なトピックを扱います。この試験は、Oracle Cloud Infrastructureプラットフォームでの作業能力と、効果的なデータサイエンスソリューションを開発するためのベストプラクティスを適用する能力をテストするために設計されています。
質問 # 11
You are a data scientist leveraging Oracle Cloud Infrastructure (OCI) Data Science to create a model and need some additional python libraries for processing genome sequencing dat a. Which of the following THREE statements are correct with respect to installing additional Python libraries to process the data?
- A. You can only install libraries using yum and pip as a normal user
- B. You cannot install a library that's not preinstalled in the provided image
- C. OCI Data Science allows privileges in notebook sessions.
- D. You can install private or custom libraries from your own internal repositories
- E. You can install any open source package available in a publicly accessible Python Package Index (PyPI) repository
正解：A、D、E
質問 # 12
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. Local Interpretable Model-Agnostic Explanations.
- B. Accumulated Local Effects.
- C. Feature Dependence Explanations.
- D. Feature Permutation Importance Explanations.
正解：A
質問 # 13
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 start a job run. When it is done, start a new job run until you achieve the number of runs required.
- B. Reconfigure the job run because Data science jobs does not support embarrassingly parallel.
- C. 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.
- D. Create the job in Data Science Jobs and then start the number of simultaneous job runs required for your workload.
正解：D
質問 # 14
You have built a machine model to predict whether a bank customer is going to default on a loan. You want to use Local Interpretable Model-Agnostic Explanations (LIME) to understand a specific prediction. What is the key idea behind LIME?
- A. Global behavior of a machine learning model may be complex, while the local behavior may be approximated with a simpler surrogate model.
- B. Local explanation techniques are model agnostic, while global explanation techniques are not.
- C. Model-agnostic techniques are more interpretable than techniques that are dependent on the types of models.
- D. Global and local behaviors of machine learning models are similar.
正解：A
質問 # 15
You are a data scientist leveraging the Oracle Cloud Infrastructure (OCI) Language AI service for various types of text analyses. Which TWO capabilities can you utilize with this tool?
- A. Sentence diagramming
- B. Sentiment analysis
- C. Table extraction
- D. Punctuation correction
- E. Topic classification
正解：E
質問 # 16
You want to ensure that all stdout and stderr from your code are automatically collected and logged, without implementing additional logging in your code. How would you achieve this with Data Science Jobs?
- A. On job creation, enable logging and select a log group. Then, select either log or the op-tion to enable automatic log creation.
- B. Data Science Jots does not support automatic fog collection and storing.
- C. Make sure that your code is using the standard logging library and then store all the logs to Check Storage at the end of the job.
- D. You can implement custom logging in your code by using the Data Science Jobs logging.
正解：D
質問 # 17
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_closed_handler handler.
- C. Execute the is_tech_job_default_handler sales handler.
- D. Throw an error because the system cannot determine which handler to run.
正解：D
質問 # 18
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 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.
- B. 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.
- C. 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.
- D. 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.
正解：C
質問 # 19
You are a data scientist working for a manufacturing company, you have developed a fore-casting model to predict the sales demand in the upcoming months. You created a model artifact that contained custom logic requiring third party libraries. When you deployed the model, it failed to run because you did not include all the third-party dependencies in the model artifact.?
- A. Runtime.yaml
- B. Requirement.txt
- C. Score.py
- D. Model_artifact_validate.py
正解：B
質問 # 20
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. Feature selection
- B. Hyperparameter tuning
- C. Adaptive sampling
- D. Algorithm selection
正解：C
質問 # 21
You are creating an Oracle Cloud Infrastructure (OCI) Data Science job that will run on a recurring basis in a production environment. This job will pick up sensitive data from an Object Storage bucket, train a model, and save it to the model catalog. How would you design the authentication mechanism for the job?
- A. Package your personal OC file and keys in the job artifact.
- B. Store your personal OCI config file and kays in the Vault, and access the Vault through the job nun resource principal
- C. Create a pre-authenticated request (PAA) for the Object Storage bucket, and use that in the job code.
- D. Use the resource principal of the job run as the signer in the job code, ensuring there is a dynamic group for this job run with appropriate access to Object Storage and the model catalog.
正解：D
質問 # 22
Where do calls to stdout and stderr from score.py go in a model deployment?
- A. The predict log in the Oracle Cloud Infrastructure (OCI) Logging service as defined in the deployment.
- B. The OCI console.
- C. The OCI Cloud Shell, which can be accessed from the console.
- D. The file that was defined for them on the Virtual stachine (VM).
正解：A
質問 # 23
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. Weighted Precision
- B. Explained Variance Score
- C. F-1 Score
- D. Weighted Recall
- E. Mean Absolute Error
正解：B、E
質問 # 24
You are asked to prepare data for a custom-built model that requires transcribing Spanish video recordings into a readable text format with profane words identified. Which Oracle Cloud service would you use?
- A. OCI Language
- B. OCI Speech
- C. OCI Translation
- D. OCI Anomaly Detection
正解：B
質問 # 25
You are a data scientist working inside a notebook session and you attempt to pip install a package from a public repository that is not included in your condo environment. After running this command, you get a network timeout error. What might be missing from your networking configuration?
- A. FastConnect to an on-premises network.
- B. NAT Gateway with public internet access.
- C. Service Gateway with private subnet access.
- D. Primary Virtual Network Interface Card (VNIC).
正解：B
質問 # 26
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