1z0-1110-22 Dumps PDF - 1z0-1110-22 Real Exam Questions Answers
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Oracle 1z0-1110-22 exam is intended for data scientists, machine learning engineers, and developers who want to enhance their expertise in designing, developing, and deploying machine learning models in Oracle Cloud Infrastructure. 1z0-1110-22 exam is also suitable for professionals who work with data and want to learn about the latest tools and technologies related to data science.
Oracle 1z0-1110-22 certification exam is structured as a multiple-choice test with 85 questions, and it must be completed within 105 minutes. 1z0-1110-22 exam is designed to test the knowledge and skills of data scientists in using Oracle Cloud Infrastructure for data science projects. Candidates will be required to demonstrate their understanding of key concepts related to data science, such as data exploration, data visualization, and machine learning algorithms.
NEW QUESTION # 27
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 Claud
- B. Oracle Cloud Infrastructure (OCI) Data Science
- C. Oracle Open Data
- D. Oracle Big Data Service
Answer: C
NEW QUESTION # 28
Which feature of the Oracle Cloud Infrastructure (OCI) Vision service helps you generate in-dexing tags for a collection of marketing photographs?
- A. Document classification
- B. Image classification
- C. Text recognition
- D. Key Value extraction
Answer: C
NEW QUESTION # 29
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. auto_transform()
- B. sample()
- C. suggeste_recoomendations()
- D. visualize_transforms()
Answer: A
NEW QUESTION # 30
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 fie?
- A. Define the inference server dependencies.
- B. Configure the deployment infrastructure.
- C. Define the compute scaling strategy.
- D. Execute the inference logic code
Answer: B
NEW QUESTION # 31
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. Model validation
- B. Model type selection
- C. Data access
- D. Feature engineering
Answer: A
NEW QUESTION # 32
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.print_trials()
- C. Oracle.automl.visualize_algorith_selection_trails()
- D. Oracle.automl.visualize_tuning_trails()
Answer: B
NEW QUESTION # 33
You have developed a model training code that regularly checks for new data in Object Storage and retrains the model. Which statement best describes the Oracle Cloud Infrastructure (OCI) services that can be accessed from Data Science Jobs?
- A. Data Science Jobs can access all OCI services.
- B. Data Science Jobs can access OCI resources only via the resource principal.
- C. Data Science Jobs cannot access all OCI services.
- D. Some OCI services require authorizations not supported by Data Science Jobs.
Answer: A
NEW QUESTION # 34
You have created a model, and you want to use the Accelerated Data Science (ADS) SDK to deploy this model. Where can you save the artifacts to deploy this model with ADS?
- A. Data Science Artifactory
- B. Model Depository
- C. Model Catalog
- D. OCI Vault
Answer: C
NEW QUESTION # 35
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. Corr{}
- B. Correlation_ratio_plot{}
- C. Cramersv_plot{}
- D. Pearson_plot{}
Answer: B
NEW QUESTION # 36
What preparation steps are required to access an Oracle AI service SDK from a Data Science notebook session?
- A. Create and upload execute.py and runtime.yaml
- B. Create and upload the API signing key and config file
- C. Import the REST API
- D. Call the Accented Data Science (ADS) command to enable Al integration
Answer: B
NEW QUESTION # 37
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. On the job run, set the environment variable that helps increase the size of the storage.
- D. Edit the job, change the size of the storage of your job, and start a new job run.
Answer: D
NEW QUESTION # 38
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. Dataset Browser
- B. SecretKeeper
- C. ADSTurner
- D. DatasetFactory
Answer: A
NEW QUESTION # 39
You are preparing a configuration object necessary to create a Data Flow application. Which THREE parameter values should you provide?
- A. The bucket used to read/write the pySpark script in Object Storage.
- B. The compartment of the Data Flow application.
- C. The path to the arhive.zip file.
- D. The display name of the application.
- E. The local path to your pySpark script.
Answer: A,D,E
NEW QUESTION # 40
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. Terminal
- B. Notebook Examples
- C. Environment Explorer
- D. Command Palette
- E. Table of Contents
Answer: B,C
NEW QUESTION # 41
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 the dynamic group grants manages permissions for the model catalog in this compartment.
- B. The policy for your user group grants manage permissions for the model catalog in this compartment.
- C. The networking configuration allows access to the Oracle Cloud Infrastructure (OCI) services through a Service Gateway.
- D. The dynamic group's matching rule exists for notebook sessions in this compartment.
- E. The model artifact is saved to the block volume of the notebook session.
Answer: A,B
NEW QUESTION # 42
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 console.
- C. The OCI Cloud Shell, which can be accessed from the console.
- D. The predict log in the Oracle Cloud Infrastructure (OCI) Logging service as defined in the deployment.
Answer: D
NEW QUESTION # 43
You are given the task of writing a program that sorts document images by language. Which Oracle AI service would you use?
- A. OCI Speech
- B. Oracle Digital Assistant
- C. OCI Language
- D. OCI Vision
Answer: D
NEW QUESTION # 44
You are creating an Oracle Cloud Infrastructure (OCI) Data Science job that will run on a recurring basis in a production environment. This job will pick up sensitive data from an Object Storage bucket, train a model, and save it to the model catalog. How would you design the authentication mechanism for the job?
- A. Package your personal OC file and keys in the job artifact.
- B. Use the resource principal of the job run as the signer in the job code, ensuring there is a dynamic group for this job run with appropriate access to Object Storage and the model catalog.
- C. Store your personal OCI config file and kays in the Vault, and access the Vault through the job nun resource principal
- D. Create a pre-authenticated request (PAA) for the Object Storage bucket, and use that in the job code.
Answer: B
NEW QUESTION # 45
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