Oracle 1z0-1110-23 Dumps - 100% Cover Real Exam Questions (Updated 80 Questions)
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NEW QUESTION # 17
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 networking configuration allows access to Oracle Cloud Infrastructure services through a Service Gateway.
- C. A dynamic group has rules that matching the notebook sessions in it compartment.
- D. The policy for your user group grants manages permissions for the model catalog in this compartment.
- E. The model artifact is saved to the block volume of the notebook session.
Answer: C,D
NEW QUESTION # 18
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. Terminal
- C. Command Palette
- D. Table of Contents
- E. Notebook Examples
Answer: A,E
NEW QUESTION # 19
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. Topic classification
- B. Punctuation correction
- C. Sentiment analysis
- D. Table extraction
- E. Sentence diagramming
Answer: A,C
NEW QUESTION # 20
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. Classification (single/multi label)
- B. Polygonal Segmentation
- C. Object Detection
- D. Named Entity Extraction
- E. Semantic Segmentation
- F. Key-Point and Landmark
Answer: A,C,D
NEW QUESTION # 21
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. Oracle Cloud Infrastructure (OCI) Command Line Interface (CLI)
- B. OCI Python SDK
- C. Git CLI
- D. ODSC CLI
- E. Accelerated Data Science (ADS) Software Development Kit (SDK)
- F. Console
Answer: A,B,E
NEW QUESTION # 22
As a data scientist, you have stored sensitive data in a database. You need to protect this data by using a master encryption algorithm, which uses symmetric keys. Which master encryption algorithm would you choose in the Oracle Cloud Infrastructure (OCI) Vault service?
- A. Rivert-Shamir-Adleman Keys
- B. Triple Data Encryption Standard Algorithm
- C. Advanced Encryption Standard Keys
- D. Elliptical Curve Cryptography Digital Signature Algorithm
Answer: C
NEW QUESTION # 23
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. Validate the model using recent data
- C. Retrain the model
- D. Drift monitoring
- E. Redeploy the model
Answer: B,C
NEW QUESTION # 24
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. Mobile App
- B. Command Line Interface (CLI)
- C. Programming Language Software Development Kit (SDK)
- D. OCI Console
Answer: C
NEW QUESTION # 25
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. Define the compute scaling strategy.
- B. Define the inference server dependencies
- C. Configure the deployment infrastructure.
- D. Execute the inference logic code.
Answer: D
NEW QUESTION # 26
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. Python Package Index (PyPI
- C. Oracle Big Data Service
- D. Oracle Machine Learning (OML)
- E. Oracle Autonomous Data Warehouse
Answer: A,B
NEW QUESTION # 27
As a data scientist, you create models for cancer prediction based on mammographic images.
The correct identification is very crucial in this case. After evaluating two models, you arrive at the following confusion matrix.
Model 1 has Test accuracy is 80% and recall is 70%.
* Model 2 has Test accuracy is 75% and recall is 85%.
Which model would you prefer and why?
- A. Model 1, because recall has lesser impact on predictions in this use case
- B. Model 2, because recall is high.
- C. Model 2, because recall has more impact on predictions in this use se.
- D. Model 1, because the test accuracy is high.
Answer: C
NEW QUESTION # 28
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. Mobile App
- C. The OCI Software Development Kit (SDK)
- D. OCI Console
Answer: C
NEW QUESTION # 29
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. corr()
- B. cramersv_plot()
- C. pearson_plot()
- D. correlation_ratio_plot()
Answer: D
NEW QUESTION # 30
You have received machine learning model training code, without clear information about the optimal shape to run the training. How would you proceed to identify the optimal compute shape for your model training that provides a balanced cost and processing time?
- A. Start with a random compute shape and monitor the utilization metrics and time required to finish the model training. Perform model training optimizations and performance tests in advance to identify the right compute shape before running the model training as a job.
- B. Start with a smaller shape and monitor the utilization metrics and time required to complete the model training. If the compute shape is fully utilized, change to compute that has more resources and re-run the job. Repeat the process until the processing time does not improve.
- C. Start with the strongest compute shape Job's support and monitor the Job Run metrics and time required to complete the model training. Tune the model so that it utilizes as much compute resources as possible, even at an increased cost.
- D. Start with a smaller shape and monitor the Job Run metrics and time required to complete the model training. If the compute shape is not fully utilized, tune the model parameters, and re- run the job. Repeat the process until the shape resources are fully utilized.
Answer: B
NEW QUESTION # 31
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_tuning_trails()
- B. Oracle.automl.print_trials()
- C. Oracle.automl.visualize_adaptive_sampling_trails()
- D. Oracle.automl.visualize_algorith_selection_trails()
Answer: B
NEW QUESTION # 32
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. odsc conda init --bucket_namespace <NAMESPACE> --bucket_name <BUCKET>
- B. conda activate /home/datascience/conda/<SLUG>
- C. odac conda publish --slug <SLUG>
- D. odsc conda create --file manifest.yaml
- E. odsc conda list --override
Answer: A,C
NEW QUESTION # 33
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.
Answer: C
NEW QUESTION # 34
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 a new job by setting the required parameters in your code and create a new job for every code change.
- C. Create a new job every time you need to run your code and pass the parameters as environment variables.
- D. Create your code to expect different parameters as command line arguments and create a new job every time you run the code.
Answer: A
NEW QUESTION # 35
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