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Oracle 1z0-1110-23 Exam Syllabus Topics:
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NEW QUESTION # 13
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 conda environment. After running this command, you get a network timeout error.
What might be missing from your networking configuration?
- A. FastConnect to an on-premises network.
- B. Service Gateway with private subnet access
- C. NAT Gateway with public internet access.
- D. Primary Virtual Network Interface Card (VNIC).
Answer: C
NEW QUESTION # 14
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 an exploratory data analysis.
From which two places can you access or install the ADS SDK?
- A. Conda environments in Oracle Cloud Infrastructure (OCI) Data Science
- B. Oracle Big Data Service
- C. Oracle Machine Learning (OML)
- D. Oracle Autonomous Data Warehouse
- E. Python Package Index (PyPI
Answer: A,E
NEW QUESTION # 15
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. Sentiment analysis
- D. Punctuation correction
- E. Sentence diagramming
Answer: B
NEW QUESTION # 16
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. Your code using too much disk space. Refactor the code to identify the problem.
- 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. On the job run, set the environment variable that helps increase the size of the storage.
Answer: C
NEW QUESTION # 17
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 in Object Storage, write all your files and data to Object Storage, delete tur ctebook session, provision a new notebook session on a larger compute shape, and capy your flies and data from your temporary bucket onto your new notebook session.
- B. 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.
- 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 larger compute shape selected.
- D. Deactivate your notebook session, provision a new notebook session on larger compute shape, and re-create all your file changes.
Answer: C
NEW QUESTION # 18
3. When preparing your model artifact to save it to the Oracle Cloud Infrastructure (OCI) Data Science model catalog, you create a score.py file. What is the purpose of the score.py file?
- A. Configure the deployment infrastructure.
- B. Execute the inference logic code.
- C. Define the compute scaling strategy.
- D. Define the inference server dependencies
Answer: B
NEW QUESTION # 19
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. ADSExplainer
- D. ADSEvaluator
Answer: D
NEW QUESTION # 20
As a data scientist, you are trying to automate a machine learning (ML) workflow and have decided to use Oracle Cloud Infrastructure (OCI) AutoML Pipeline.
Which three are part of the AutoML Pipeline?
- A. Adaptive Sampling
- B. Algorithm Selection
- C. Feature Extraction
- D. Model Deployment
- E. Feature Selection
Answer: A,D,E
NEW QUESTION # 21
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. suggeste_recoomendations()
- B. auto_transform()
- C. sample()
- D. visualize_transforms()
Answer: B
NEW QUESTION # 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. OneHotEncoder()
- B. show_in_notebook()
- C. auto_transform()
- D. DataFramLabelEncode()
Answer: D
NEW QUESTION # 23
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. Pandas DataFrame
- C. Raw Images
- D. DOCX
- E. XML
Answer: B,E
NEW QUESTION # 24
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 as command line arguments and create a new job every time you run the code.
- B. Create a new job every time you need to run your code and pass the parameters as environment variables.
- C. 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.
- D. Create a new job by setting the required parameters in your code and create a new job for every code change.
Answer: C
NEW QUESTION # 25
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. Key-Point and Landmark
- B. Polygonal Segmentation
- C. Object Detection
- D. Classification (single/multi label)
- E. Named Entity Extraction
- F. Semantic Segmentation
Answer: C,D,E
NEW QUESTION # 26
You have trained a machine learning model on Oracle Cloud Infrastructure (OCI) Data Science, and you want to save the code and associated pickle file in a Git repository. To do this, you have to create a new SSH key pair to use for authentication. Which SSH command would you use to create the public/private algorithm key pair in the notebook session?
- A. ssh-agent
- B. ssh-Keygen
- C. ssh-copy-id
- D. ssh-add
Answer: B
NEW QUESTION # 27
You train a model to predict housing prices for your city. Which two metrics from the Accelerated Data Science (ADS) ADSEvaluator class can you use to evaluate the regression model?
- A. Explained Variance Score
- B. Mean Absolute Error
- C. F-1 Score
- D. Weighted Precision
- E. Weighted Recall
Answer: A,E
NEW QUESTION # 28
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