無料でゲット！2024年最新のに更新されたOracle 1z0-1110-22試験問題と解答
1z0-1110-22問題集PDFとテストエンジン試験問題
質問 # 20
After you have created and opened a notebook session, you want to use the Accelerated Data Science (ADS) SDK to access your data and get started with exploratory data analysis. From which TWO places can you access the ADS SDK?
- A. Oracle Autonomous Data Warehouse
- B. Oracle Big Data Service
- C. Oracle Machine Learning
- D. Python Package Index (PyPi)
- E. Conda environments in Oracle Cloud infrastructure (OCI) Data Science.
正解：C、E
質問 # 21
You are a data scientist trying to load data into your notebook session. You understand that Accelerated Data Science (ADS) SDK supports loading various data formats. Which of the following THREE are ADS supported data formats?
- A. JSON
- B. XML
- C. DOCX
- D. Pandas DataFram
- E. Raw Images
正解：A、B、D
質問 # 22
Which feature of the Oracle Cloud Infrastructure (OCI) Vision service helps you generate in-dexing tags for a collection of marketing photographs?
- A. Key Value extraction
- B. Image classification
- C. Document classification
- D. Text recognition
正解：D
質問 # 23
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. Polygonal Segmentation
- B. Named Entity Extraction
- C. Key-Point and Landmark
- D. Object Detection
- E. Classification (single/multi label)
- F. Semantic Segmentation
正解：B、D、E
質問 # 24
You are given the task of writing a program that sorts document images by language. Which Oracle AI service would you use?
- A. OCI Vision
- B. Oracle Digital Assistant
- C. OCI Language
- D. OCI Speech
正解：A
質問 # 25
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 Depository
- B. Model Catalog
- C. OCI Vault
- D. Data Science Artifactory
正解：B
質問 # 26
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. A hyperparameter configuration with a minimum learning rate is returned.
- B. A random hyperparameter configuration is returned.
- C. The last generated hyperparameter configuration is returned.
- D. The current best-known hyperparameter configuration is returned.
正解：D
質問 # 27
Six months ago, you created and deployed a model that predicts customer churn for a call center. Initially, it was yielding quality predictions. However, over the last two months, users have been questioning the credibility of the predictions. Which TWO methods customer churn would you employ to verify the accuracy of the model?
- A. Redeploy the model
- B. Operational monitoring
- C. Retrain the model
- D. Drift monitoring
- E. Validate the model using recent data
正解：C、E
質問 # 28
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. Show_corr{}
- B. Compute{}
- C. To_xgb{}
- D. Show_in_notebook{}
正解：D
質問 # 29
You are building a model and need input that represents data as morning, afternoon, or evening. However, the data contains a time stamp. What part of the Data Science life cycle would you be in when creating the new variable?
- A. Model type selection
- B. Data access
- C. Feature engineering
- D. Model validation
正解：D
質問 # 30
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. Algorithm selection
- B. Hyperparameter tuning
- C. Feature selection
- D. Adaptive sampling
正解：D
質問 # 31
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. On job creation, enable logging and select a log group. Then, select either log or the op-tion to enable automatic log creation.
- 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. Data Science Jots does not support automatic fog collection and storing.
正解：A
質問 # 32
As you are working in your notebook session, you find that your notebook session does not have enough compute CPU and memory for your workload. How would you scale up your notebook session without losing your work?
- A. Deactivate your notebook session, provision a new notebook session on larger compute shape, and re-create all your file changes.
- B. Ensure your files and environments are written to the block volume storage under the /home/datascience directory, deactivate the notebook session, and activate the notebook larger compute shape selected.
- C. Down your files and data to your local machine, delete your notebook session, provision tebook session on a larger compute shape, and upload your files from your local the new notebook session.
- D. Create a temporary bucket in Object Storage, write all your files and data to Object Storage, delete tur ctebook session, provision a new notebook session on a larger com-pute shape, and capy your flies and data from your temporary bucket onto your new notebook session.
正解：B
質問 # 33
You want to write a Python script to create a collection of different projects for your data sci-ence team. Which Oracle Cloud Infrastructure (OCI) Data Science Interface would you use?
- A. Command Line Interface (CLI)
- B. Programming Language Software Development Kit (SDK)
- C. Mobile App
- D. OCI Console
正解：B
質問 # 34
Which TWO statements are true about published conda environments?
- A. You can only create published conda environment by modifying a Data Science conde
- B. They can be used in Data Science Jobs and model deployments.
- C. Your notebook session acts as the source to share published conda environment with team members.
- D. They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
- E. The odsc conda init command is used to configure the location of published conda en-vironments.
正解：C、E
質問 # 35
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. DatasetFactory
- B. ADSTurner
- C. SecretKeeper
- D. Dataset Browser
正解：D
質問 # 36
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. Command Palette
- B. Environment Explorer
- C. Notebook Examples
- D. Terminal
- E. Table of Contents
正解：B、C
質問 # 37
You want to make your model more parsimonious to reduce the cost of collecting and processing dat a. You plan to do this by removing features that are highly correlated. You would like to create a heat map that displays the correlation so that you can identify candidate features to remove. Which Accelerated Data Science (ADS) SDK method would be appropriate to display the correlation between Continuous and Categorical features?
- A. Cramersv_plot{}
- B. Pearson_plot{}
- C. Corr{}
- D. Correlation_ratio_plot{}
正解：D
質問 # 38
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. Accumulated Local Effects.
- C. Local Interpretable Model-Agnostic Explanations.
- D. Feature Permutation Importance Explanations.
正解：C
質問 # 39
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. EvaluationMetrics
- B. ADSTuner
- C. ADS Explainer
- D. ADS Evaluator
正解：A
質問 # 40
Select two reasons why it is important to rotate encryption keys when using Oracle Cloud In-frastructure (OCI) Vault to store credentials or other secrets.?
- A. Key rotation improves encryption efficiency.
- B. Periodically rotating keys make it easier to reuse key.
- C. Key rotation reduces risk if a key is ever compromised.
- D. Key rotation allows you to encrypt no more than five keys at a time.
- E. Periodically rotating keys limits the amount of data encrypted by one key version.
正解：B、C
質問 # 41
The Accelerated Data Science (ADS) model evaluation classes support different types of ma-chine learning modeling techniques Which THREE types of modeling techniques are supported by ADS Evaluators?
- A. Recurrent Neural Network
- B. Regression Analysis
- C. Binary Classification
- D. K-Means Clustering
- E. Principal Component Analysis
- F. Multiclass Classification
正解：B、C、F
質問 # 42
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