最新の1z0-1110-22実際の無料試験問題更新された58問あります
無料で使える1z0-1110-22試験ブレーン問題集認定ガイドの問題と解答
Oracle 1Z0-1110-22の試験に合格すると、候補者がクラウドベースの環境でデータを操作し、Oracle Cloud Infrastructure Data Science Tools and Servicesを使用して機械学習モデルを構築および展開するために必要なスキルと知識を持っていることが示されています。この認定は、専門家がデータサイエンスのキャリアを前進させ、潜在的な雇用主に価値を高めるのに役立ちます。
質問 # 28
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. Model-agnostic techniques are more interpretable than techniques that are dependent on the types of models.
- C. Global and local behaviors of machine learning models are similar.
- D. Local explanation techniques are model agnostic, while global explanation techniques are not.
正解：A
質問 # 29
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. You can implement custom logging in your code by using the Data Science Jobs logging.
- 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. On job creation, enable logging and select a log group. Then, select either log or the op-tion to enable automatic log creation.
正解：A
質問 # 30
Using Oracle AutoML, you are tuning hyperparameters on a supported model class and have specified a time budget. AutoML terminates computation once the time budget is exhausted. What would you expect AutoML to return in case the time budget is exhausted before hy-perparameter tuning is completed?
- A. The current best-known hyperparameter configuration is returned.
- B. A random hyperparameter configuration is returned.
- C. The last generated hyperparameter configuration is returned.
- D. A hyperparameter configuration with a minimum learning rate is returned.
正解：A
質問 # 31
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. sample()
- D. visualize_transforms()
正解：A
質問 # 32
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. Service Gateway with private subnet access.
- B. NAT Gateway with public internet access.
- C. FastConnect to an on-premises network.
- D. Primary Virtual Network Interface Card (VNIC).
正解：B
質問 # 33
You are preparing a configuration object necessary to create a Data Flow application. Which THREE parameter values should you provide?
- A. The bucket used to read/write the pySpark script in Object Storage.
- B. The display name of the application.
- C. The compartment of the Data Flow application.
- D. The path to the arhive.zip file.
- E. The local path to your pySpark script.
正解：A、B、E
質問 # 34
Which Oracle Accelerated Data Science (ADS) classes can be used for easy access to data sets from reference libraries and index websites, such as scikit-learn?
- A. Dataset Browser
- B. SecretKeeper
- C. ADSTurner
- D. DatasetFactory
正解：A
質問 # 35
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 policy for the dynamic group grants manages permissions for the model catalog in this compartment.
- B. The networking configuration allows access to the Oracle Cloud Infrastructure (OCI) services through a Service Gateway.
- C. The model artifact is saved to the block volume of the notebook session.
- D. The dynamic group's matching rule exists for notebook sessions in this compartment.
- E. The policy for your user group grants manage permissions for the model catalog in this compartment.
正解：A、E
質問 # 36
You are given the task of writing a program that sorts document images by language. Which Oracle AI service would you use?
- A. Oracle Digital Assistant
- B. OCI Speech
- C. OCI Vision
- D. OCI Language
正解：C
質問 # 37
Which TWO statements are true about published conda environments?
- A. Your notebook session acts as the source to share published conda environment with team members.
- B. They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
- C. The odsc conda init command is used to configure the location of published conda en-vironments.
- D. You can only create published conda environment by modifying a Data Science conde
- E. They can be used in Data Science Jobs and model deployments.
正解：A、C
質問 # 38
You are a data scientist designing an air traffic control model, and you choose to leverage Or-acle AutoML. You understand that the Oracle AutoML pipeline consists of multiple stages and automatically operates in a certain sequence. What is the correct sequence for the Oracle AutoML pipeline?
- A. Adaptive sampling, Algorithm selection, Feature selection, Hyperparameter tuning.
- B. Algorithm selection, Adaptive sampling. Feature selection, Hyperparameter tuning.
- C. Adaptive sampling, Feature selection, Algorithm selection, Hyperparameter tuning.
- D. Algorithm selection, Feature selection, Adaptive sampling, Hyperparameter tuning.
正解：B
質問 # 39
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 an image by drawing bounding box to an image, is not supported by Data Labeling
- C. Adding multiple labels to an image.
- D. Adding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.
- E. Adding labels to an image using object detection, by drawing bounding boxes to an im-age.
正解：A、C、E
質問 # 40
You are a data scientist working for a utilities company. You have developed an algorith that detects anomalies from a utility reader in the grid. The size of the model artifact is about 2 GB, and you are trying to store it in the model catalog. Which THREE interfaces would you use to save the model artifact into the model catalog?
- A. Git CLI
- B. ODSC CLI
- C. Oracle Cloud Infrastructure (OCI) Command Line Interface (CLI)
- D. Console
- E. Accelerated Data Science (ADS) Software Development Kit (SDK)
- F. OCI Python SDK
正解：D、E、F
質問 # 41
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. Throw an error because the system cannot determine which handler to run.
- D. Execute the is_tech_job_default_handler sales handler.
正解：C
質問 # 42
You have just received a new data set from a colleague. You want to quickly find out summary information about the data set, such as the types of features, total number of observations, and data distributions, Which Accelerated Data Science (ADS) SDK method from the AD&Dataset class would you use?
- A. Compute{}
- B. Show_in_notebook{}
- C. To_xgb{}
- D. Show_corr{}
正解：B
質問 # 43
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 Anomaly Detection
- B. OCI Translation
- C. OCI Speech
- D. OCI Language
正解：C
質問 # 44
During a job run, you receive an error message that no space is left on your disk device. To solve the problem, you must increase the size of the job storage. What would be the most effi-cient way to do this with Data Science Jobs?
- A. On the job run, set the environment variable that helps increase the size of the storage.
- B. Create a new job with increased storage size and then run the job.
- C. Edit the job, change the size of the storage of your job, and start a new job run.
- D. Your code using too much disk space. Refactor the code to identify the problem.
正解：C
質問 # 45
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. ZIP the entire code project folder and upload it as a Job artifact on job creation, Jobs identities the main executable file automatically.
- B. Rewrite your code so that a single executable Python or Bash/Shell script file.
- C. ZIP the entire code project folder and upload it as a Job artifact Jobs automatically identifies
- D. 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.
正解：D
解説：
That main top level where the code is run.
質問 # 46
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. Model_artifact_validate.py
- B. Requirement.txt
- C. Runtime.yaml
- D. Score.py
正解：B
質問 # 47
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 Permutation Importance Explanations.
- B. Local Interpretable Model-Agnostic Explanations.
- C. Feature Dependence Explanations.
- D. Accumulated Local Effects.
正解：B
質問 # 48
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. Terminal
- B. Table of Contents
- C. Notebook Examples
- D. Command Palette
- E. Environment Explorer
正解：C、E
質問 # 49
What preparation steps are required to access an Oracle AI service SDK from a Data Science notebook session?
- A. Create and upload the API signing key and config file
- B. Call the Accented Data Science (ADS) command to enable Al integration
- C. Create and upload execute.py and runtime.yaml
- D. Import the REST API
正解：A
質問 # 50
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