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質問 # 19
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 # 20
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. Table of Contents
- C. Terminal
- D. Notebook Examples
- E. Environment Explorer
正解：D、E
質問 # 21
You realize that your model deployment is about to reach its utilization limit. What would you do to avoid the issue before requests start to fail?
- A. Delete the deployment.
- B. Update the deployment to add more instances.
- C. Reduce the load balancer bandwidth limit so that fewer requests come in.
- D. Update the deployment to use a larger virtual machine (mare CPUs/memory).
- E. Update the deployment to use fewer instances.
正解：B
質問 # 22
As a data scientist, you are working on a global health data set that has data from more than 50 countries. You want to encode three features, such as 'countries', 'race', and 'body organ' as categories. Which option would you use to encode the categorical feature?
- A. auto_transform()
- B. show_in_notebook()
- C. DataFramLabelEncode()
- D. OneHotEncoder()
正解：C
質問 # 23
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 Speech
- B. OCI Anomaly Detection
- C. OCI Language
- D. OCI Translation
正解：A
質問 # 24
You are using Oracle Cloud Infrastructure Anomaly Detection to train a model to detect anomalies in pump sensor dat a. How does the required False Alarm Probability settings affect an anomaly detection model?
- A. It changes the sensitivity of the model to detect anomalies.
- B. It is used to disable the reporting of false alarm.
- C. It Adds a score to each signal indicating the probability that it is false alarm.
- D. It determines how many false alarms occur before an error message is generated.
正解：A
質問 # 25
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 your user group grants manage permissions for the model catalog in this compartment.
- D. The dynamic group's matching rule exists for notebook sessions in this compartment.
- E. The policy for the dynamic group grants manages permissions for the model catalog in this compartment.
正解：C、E
質問 # 26
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 # 27
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. Periodically rotating keys limits the amount of data encrypted by one key version.
- E. Key rotation allows you to encrypt no more than five keys at a time.
正解：B、C
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. Compute{}
- B. Show_in_notebook{}
- C. To_xgb{}
- D. Show_corr{}
正解：B
質問 # 29
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. Import the REST API
- C. Create and upload execute.py and runtime.yaml
- D. Call the Accented Data Science (ADS) command to enable Al integration
正解：A
質問 # 30
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. Multiclass Classification
- B. Recurrent Neural Network
- C. K-Means Clustering
- D. Principal Component Analysis
- E. Binary Classification
- F. Regression Analysis
正解：A、E、F
質問 # 31
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. Operational monitoring
- B. Drift monitoring
- C. Validate the model using recent data
- D. Retrain the model
- E. Redeploy the model
正解：C、D
質問 # 32
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. ADSTurner
- B. Dataset Browser
- C. DatasetFactory
- D. SecretKeeper
正解：B
質問 # 33
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. Key-Point and Landmark
- D. Classification (single/multi label)
- E. Polygonal Segmentation
- F. Semantic Segmentation
正解：A、B、D
質問 # 34
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_default_handler sales handler.
- B. Throw an error because the system cannot determine which handler to run.
- C. Execute the is_tech_job_closed_handler handler.
- D. Execute the is_tech_job_open_handler handler.
正解：B
質問 # 35
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. Explained variance score
- D. F1 Score
- E. Mean squared error
正解：B、D
質問 # 36
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. Data Science Jots does not support automatic fog collection and storing.
- 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. You can implement custom logging in your code by using the Data Science Jobs logging.
正解：D
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. Correlation_ratio_plot{}
- C. Corr{}
- D. Pearson_plot{}
正解：B
質問 # 38
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 labels to an image by drawing bounding box to an image, is not supported by Data Labeling
- B. Adding labels to an image using object detection, by drawing bounding boxes to an im-age.
- C. Adding a single label to an image.
- D. Adding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.
- E. Adding multiple labels to an image.
正解：B、C、E
質問 # 39
As a data scientist, you are tasked with creating a model training job that is expected to take different hyperparameter values on every run. What is the most efficient way to set those pa-rameters with Oracle Data Science Jobs?
- A. Create your code to expect different parameters either as environment variables or as command line arguments, which are set on every job run with different values.
- B. Create your code to expect different parameters as command line arguments, and create it new job every time you run the code.
- C. Create a new no by setting the required parameters in your code, and create a new job for mery code change.
- D. Create a new job every time you need to run your code and pass the parameters as en-vironment variables.
正解：A
質問 # 40
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. Table extraction
- B. Topic classification
- C. Sentence diagramming
- D. Sentiment analysis
- E. Punctuation correction
正解：B
質問 # 41
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