1z0-1110-23問題一発合格させる問題集はOracle Cloud認定で！
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質問 # 34
You want to write a Python script to create a collection of different projects for your data science 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. OCI Console
- D. Mobile App
正解：B
質問 # 35
You want to make your model more frugal to reduce the cost of collecting and processing data.
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 is appropriate to display the comparability between Continuous and Categorical features?
- A. correlation_ratio_plot()
- B. corr()
- C. cramersv_plot()
- D. pearson_plot()
正解：A
質問 # 36
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. OneHotEncoder()
- B. auto_transform()
- C. DataFramLabelEncode()
- D. show_in_notebook()
正解：C
質問 # 37
You are using Oracle Cloud Infrastructure (OCI) Anomaly Detection to train a model to detect anomalies in pump sensor data. How does the required False Alarm Probability setting affect an anomaly detection model?
- A. It determines how many false alarms occur before an error message is generated.
- B. It changes the sensitivity of the model to detecting anomalies.
- C. It adds a score to each signal indicating the probability that its a false alarm.
- D. It is used to disable the reporting of false alarms.
正解：B
質問 # 38
In the Oracle Cloud Infrastructure (OCI) Data Science service, how does Model Catalog help with model deployment and management in MLOps?
- A. It helps to automate the feature engineering process.
- B. It is a database that stores all the features used in a machine learning model.
- C. It helps to package the model and its dependencies into a lightweight, portable container.
- D. It provides a centralized and scalable way to manage models and their metadata.
正解：D
質問 # 39
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 data. Which of the following THREE statements are correct with respect to installing additional Python libraries to process the data?
- A. You can install private or custom libraries from your own internal repositories.
- B. OCI Data Science allows root privileges in notebook sessions.
- C. You can install any open source package available on a publicly accessible Python Package Index (PyPI) repository.
- D. You can only install libraries using yum and pip as a normal user.
- E. You cannot install a library that's not preinstalled in the provided image
正解：B、C、D
質問 # 40
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 a new job by setting the required parameters in your code and create a new job for every code change.
- B. 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.
- C. Create your code to expect different parameters as command line arguments and create a new job every time you run the code.
- D. Create a new job every time you need to run your code and pass the parameters as environment variables.
正解：B
質問 # 41
For your next data science project, you need access to public geospatial images.
Which Oracle Cloud service provides free access to those images?
- A. Oracle Analytics Cloud
- B. Oracle Open Data
- C. Oracle Cloud Infrastructure Data Science
- D. Oracle Big Data Service
正解：B
質問 # 42
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. Sentence diagramming
- C. Topic classification
- D. Punctuation correction
- E. Sentiment analysis
正解：C
質問 # 43
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. You can move a project to a different compartment without affecting its associated notebook sessions and models
- B. You cannot move a project to a different compartment after it has been created.
- C. Moving a project to a different compartment requires deleting all its associated notebook sessions and models first.
- D. Moving a project to a different compartment also moves its associated notebook sessions and models to the new compartment.
正解：D
質問 # 44
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. XML
- B. JSON
- C. Pandas DataFrame
- D. Raw Images
- E. DOCX
正解：A、C
質問 # 45
You have created a conda environment in your notebook session. This is the first time you are working with published conda environments. You have also created an Object Storage bucket with permission to manage the bucket.
Which two commands are required to publish the conda environment?
- A. conda activate /home/datascience/conda/<SLUG>
- B. odsc conda init --bucket_namespace <NAMESPACE> --bucket_name <BUCKET>
- C. odsc conda list --override
- D. odac conda publish --slug <SLUG>
- E. odsc conda create --file manifest.yaml
正解：B、D
質問 # 46
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. Reduce the load balancer bandwidth limit so that fewer requests come in.
- C. Update the deployment to use fewer instances.
- D. Update the deployment to add more instances.
- E. Update the deployment to use a larger virtual machine (mare CPUs/memory).
正解：D
質問 # 47
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. Environment Explorer
- B. Table of Contents
- C. Command Palette
- D. Terminal
- E. Notebook Examples
正解：A、E
質問 # 48
You are a data scientist working for a utilities company. You have developed an algorithm 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 could you use to save the model artifact into the model catalog?
- A. Console
- B. Git CLI
- C. ODSC CLI
- D. OCI Python SDK
- E. Accelerated Data Science (ADS) Software Development Kit (SDK)
- F. Oracle Cloud Infrastructure (OCI) Command Line Interface (CLI)
正解：D、E、F
質問 # 49
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. Polygonal Segmentation
- C. Classification (single/multi label)
- D. Object Detection
- E. Semantic Segmentation
- F. Key-Point and Landmark
正解：A、C、D
質問 # 50
The Oracle AutoML pipeline automates hyperparameter tuning by training the model with different parameters in parallel. You have created an instance of Oracle AutoML as ora-cle_automl and now you want an output with all the different trials performed by Oracle Au-toML. Which of the following command gives you the results of all the trials?
- A. Oracle.automl.visualize_adaptive_sampling_trails()
- B. Oracle.automl.visualize_algorith_selection_trails()
- C. Oracle.automl.print_trials()
- D. Oracle.automl.visualize_tuning_trails()
正解：C
質問 # 51
. 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. Reduce the load balancer bandwidth limit so that fewer requests come in.
- B. Delete the deployment.
- C. Update the deployment to use a larger virtual machine (more CPUs/memory).
- D. Update the deployment to use fewer instances.
- E. Update the deployment to add more instances.
正解：A、C、E
質問 # 52
Which Oracle Cloud Infrastructure (OCI) service should you use to create and run Spark applications using ADS?
- A. Vault
- B. Data Integration
- C. Analytics Cloud
- D. Data Flow
正解：D
質問 # 53
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. Local explanation techniques are model-agnostic, while global explanation techniques are not
- B. Global behaviour of a machine learning model may be complex, while the local behaviour may be approximated with a simpler surrogate model.
- C. Model-agnostic techniques are more interpretable than techniques that are dependent on the types of models.
- D. Global and local behaviours of machine learning models are similar.
正解：B
質問 # 54
Where do calls to stdout and stderr from score.py go in a model deployment?
- A. The file that was defined for them on the Virtual stachine (VM).
- B. The OCI Cloud Shell, which can be accessed from the console.
- C. The predict log in the Oracle Cloud Infrastructure (OCI) Logging service as defined in the deployment.
- D. The OCI console.
正解：C
質問 # 55
Which TWO statements are true about published conda environments?
- A. The odsc conda init command is used to configure the location of published conda en-vironments.
- B. Your notebook session acts as the source to share published conda environment with team members.
- C. They can be used in Data Science Jobs and model deployments.
- D. You can only create published conda environment by modifying a Data Science conde
- E. They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
正解：A、B
質問 # 56
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 a dynamic group grant manages permissions for the model catalog in it compartment.
- B. The model artifact is saved to the block volume of the notebook session.
- C. A dynamic group has rules that matching the notebook sessions in it compartment.
- D. The networking configuration allows access to Oracle Cloud Infrastructure services through a Service Gateway.
- E. The policy for your user group grants manages permissions for the model catalog in this compartment.
正解：C、E
質問 # 57
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