究極のガイド準備で無料Oracle 1z0-1110-23試験問題と解答
合格させるOracle 1z0-1110-23テストエンジンPDFで完全版無料問題集
Oracle 1z0-1110-23 認定試験の出題範囲：
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質問 # 48
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. Create a temporary bucket on Object Storage, write all your files and data to Object Storage, delete your notebook session, provision a new notebook session on a larger compute shape, Want any exam dump in pdf email me at [email protected] (Little Paid) and copy your files and data from your temporary bucket onto your new notebook session.
- B. Deactivate your notebook session, provision a new notebook session on a larger compute shape and re-create all of your file changes.
- C. 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 session with a larger compute shape selected. - D. Download all your files and data to your local machine, delete your notebook session, provision a new notebook session on a larger compute shape, and upload your files from your local machine to the new notebook session.
正解：C
質問 # 49
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. Feature engineering
- B. Data access
- C. Model type selection
- D. Model validation
正解：A
質問 # 50
The Accelerated Data Science (ADS) model evaluation classes support different types of machine learning modeling techniques. Which three types of modeling techniques are supported by ADS Evaluators?
- A. K-means Clustering
- B. Recurrent Neural Network
- C. Regression Analysis
- D. Binary Classification
- E. Principal Component Analysis
- F. Multiclass Classification
正解：C、D、F
質問 # 51
You are a data scientist building a pipeline in the Oracle Cloud Infrastructure (OCI) Data Science service for your machine learning project. You want to optimize the pipeline completion time by running some steps in parallel. Which statement is true about running pipeline steps in parallel?
- A. All pipeline steps are always run in parallel.
- B. Steps in a pipeline can be run only sequentially.
- C. Pipeline steps can be run in sequence or in parallel, as long as they create a directed acyclic graph (DAG).
- D. Parallel steps cannot be run if they are completely independent of each other.
正解：C
質問 # 52
You loaded data into Oracle Cloud Infrastructure (OCI) Data Science. To transform the data, you want to use the Accelerated Data Science (ADS) SDK. When you applied the get_recommendations () tool to the ADSDataset object, it showed you user-detected issues with all the recommended changes to apply to the dataset. Which option should you use to apply all the recommended transformations at once?
- A. get_transformed_dataset ()
- B. fit_transform()
- C. visualize_transforms ()
- D. auto_transform()
正解：D
質問 # 53
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. Raw Images
- B. XML
- C. DOCX
- D. Pandas DataFrame
- E. JSON
正解：B、D
質問 # 54
Which Oracle Cloud Infrastructure (OCI) service should you use to create and run Spark applications using ADS?
- A. Analytics Cloud
- B. Data Integration
- C. Vault
- D. Data Flow
正解：D
質問 # 55
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. ADSExplainer
- B. ADSEvaluator
- C. EvaluationMetrics
- D. ADSTuner
正解：B
質問 # 56
Six months ago, you created and deployed a model that predicts customer churn for a call centre. Initially, it was yielding quality predictions. However, over the last two months, users are questioning the credibility of the predictions.
Which two methods would you employ to verify the accuracy of the model?
- A. Redeploy the model
- B. Drift monitoring
- C. Operational monitoring
- D. Retrain the model
- E. Validate the model using recent data
正解：B、E
質問 # 57
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. Drift monitoring
- B. Redeploy the model
- C. Operational monitoring
- D. Retrain the model
- E. Validate the model using recent data
正解：D、E
質問 # 58
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 parameters 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 a new job every time you run the code.
- C. Create a new job by setting the required parameters in your code and create a new job for every code change.
- D. Create a new job every time you need to run your code and pass the parameters as environment variables.
正解：A
質問 # 59
Which TWO statements are true about published conda environments?
- A. They can be used in Data Science Jobs and model deployments.
- B. You can only create published conda environment by modifying a Data Science conde
- C. The odsc conda init command is used to configure the location of published conda en-vironments.
- D. They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
- E. Your notebook session acts as the source to share published conda environment with team members.
正解：C、E
質問 # 60
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. Model-agnostic techniques are more interpretable than techniques that are dependent on the types of models.
- B. Global and local behaviours of machine learning models are similar.
- C. Local explanation techniques are model-agnostic, while global explanation techniques are not
- D. Global behaviour of a machine learning model may be complex, while the local behaviour may be approximated with a simpler surrogate model.
正解：D
質問 # 61
You are a data scientist designing an air traffic control model, and you choose to leverage Oracle 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. Algorithm selection, Adaptive sampling, Feature selection, Hyperparameter tuning
- B. Adaptive sampling, Algorithm selection, Feature selection, Hyperparameter tuning
- C. Adaptive sampling, Feature selection, Algorithm selection, Hyperparameter tuning
- D. Algorithm selection, Feature selection, Adaptive sampling, Hyperparameter tuning Want any exam dump in pdf email me at [email protected] (Little Paid)
正解：B
質問 # 62
You have created a Data Science project in a compartment called Development and shared it with a group of collaborators. You now need to move the project to a different compartment called Production after completing the current development iteration.
Which statement is correct?
- A. Moving a project to a different compartment also moves its associated notebook sessions and models to the new compartment.
- B. You cannot move a project to a different compartment after it has been created.
- C. You can move a project to a different compartment without affecting its associated notebook sessions and models
- D. Moving a project to a different compartment requires deleting all its associated notebook sessions and models first.
正解：A
質問 # 63
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 Translation
- C. OCI Anomaly Detection
- D. OCI Language
正解：A
質問 # 64
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. Update the deployment to add more instances.
- B. Update the deployment to use a larger virtual machine (mare CPUs/memory).
- C. Reduce the load balancer bandwidth limit so that fewer requests come in.
- D. Delete the deployment.
- E. Update the deployment to use fewer instances.
正解：A
質問 # 65
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. Raw Images
- B. XML
- C. DOCX
- D. Pandas DataFram
- E. JSON
正解：B、D、E
質問 # 66
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 hyperparameter tuning is completed?
- A. A random hyperparameter configuration is returned.
- B. A hyperparameter configuration with a minimum learning rate is returned.
- C. The last generated hyperparameter configuration is returned
- D. The current best-known hyperparameter configuration is returned.
正解：D
質問 # 67
You want to use ADSTuner to tune the hyperparameters of a supported model you recently trained. You have just started your search and want to reduce the computational cost as well as access the quality of the model class that you are using.
What is the most appropriate search space strategy to choose?
- A. Pass a dictionary that defines a search space
- B. Perfunctory
- C. Detailed
- D. ADSTuner doesn't need a search space to tune the hyperparameters.
正解：B
質問 # 68
You want to write a program that performs document analysis tasks such as extracting text and tables from a document. Which Oracle AI service would you use?
- A. OCI Vision
- B. OCI Speech
- C. Oracle Digital Assistant
- D. OCI Language
正解：A
質問 # 69
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 Translation
- C. OCI Anomaly Detection
- D. OCI Language
正解：A
質問 # 70
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. Throw an error because the system cannot determine which handler to run.
- B. Execute the is_tech_job_default_handler sales handler.
- C. Execute the is_tech_job_open_handler handler.
- D. Execute the is_tech_job_closed_handler handler.
正解：A
質問 # 71
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