Best 1z0-1110-22 Exam Dumps for the Preparation of Latest 1z0-1110-22 Exam Questions
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Oracle 1z0-1110-22 certification exam is a challenging yet rewarding test of an individual's knowledge and skills in the field of data science within the Oracle Cloud Infrastructure environment. With the right preparation and experience, candidates can successfully pass the exam and earn this valuable certification.
NEW QUESTION # 25
You have a complex Python code project that could benefit from using Data Science Jobs as it is a repeatable machine learning model training task. The project contains many subfolder and classes. What is the best way to run this project as a job?
- A. ZIP the entire code project folder and upload it as a Job artifact Jobs automatically identifies
- B. Rewrite your code so that a single executable Python or Bash/Shell script file.
- C. ZIP the entire code project folder, upload it as a Job artifact on job creation and set JOB_RUN_ENTRYPOINT to point to the main executable file.
- D. ZIP the entire code project folder and upload it as a Job artifact on job creation, Jobs identities the main executable file automatically.
Answer: C
Explanation:
That main top level where the code is run.
NEW QUESTION # 26
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. Object Detection
- C. Key-Point and Landmark
- D. Polygonal Segmentation
- E. Named Entity Extraction
- F. Semantic Segmentation
Answer: A,B,E
NEW QUESTION # 27
You want to evaluate the relationship between feature values and model predictions. You sus-pect that some of the features are correlated. Which model explanation technique would you recommend?
- A. Accumulated Local Effects.
- B. Feature Dependence Explanations.
- C. Feature Permutation Importance Explanations.
- D. Local Interpretable Model-Agnostic Explanations.
Answer: D
NEW QUESTION # 28
You are using a third-party Continuous Integration/Continuous Delivery (CI/CD) tool to create a pipeline for preparing and training models. How would you integrate a third-party tool outside Oracle Cloud Infrastructure (OCI) to access Data Science Jobs?
- A. Data Science Jobs does not accept code from third-party tools, therefore you need to run the pipeline externally.
- B. Third-party software can access Data Science Jobs by using any of the OCI Software Development Kits (SDKs).
- C. Third-party tools use authentication keys to create and run.
- D. Data Science Jobs Data Science Jobs is not accessible from outside OCI.
Answer: B
NEW QUESTION # 29
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()
Answer: C
NEW QUESTION # 30
You are a data scientist designing an air traffic control model, and you choose to leverage Or-acle 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. Algorithm selection, Feature selection, Adaptive sampling, Hyperparameter tuning.
- C. Adaptive sampling, Algorithm selection, Feature selection, Hyperparameter tuning.
- D. Adaptive sampling, Feature selection, Algorithm selection, Hyperparameter tuning.
Answer: A
NEW QUESTION # 31
You want to ensure that all stdout and stderr from your code are automatically collected and logged, without implementing additional logging in your code. How would you achieve this with Data Science Jobs?
- A. Data Science Jots does not support automatic fog collection and storing.
- B. On job creation, enable logging and select a log group. Then, select either log or the op-tion to enable automatic log creation.
- C. You can implement custom logging in your code by using the Data Science Jobs logging.
- D. Make sure that your code is using the standard logging library and then store all the logs to Check Storage at the end of the job.
Answer: C
NEW QUESTION # 32
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 dynamic group's matching rule exists for notebook sessions in this compartment.
- B. The model artifact is saved to the block volume of the notebook session.
- C. The networking configuration allows access to the Oracle Cloud Infrastructure (OCI) services through a Service Gateway.
- D. The policy for the dynamic group grants manages permissions for the model catalog in this compartment.
- E. The policy for your user group grants manage permissions for the model catalog in this compartment.
Answer: D,E
NEW QUESTION # 33
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 # 34
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. 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.
- B. Create a pre-authenticated request (PAA) for the Object Storage bucket, and use that in the job code.
- C. Store your personal OCI config file and kays in the Vault, and access the Vault through the job nun resource principal
- D. Package your personal OC file and keys in the job artifact.
Answer: A
NEW QUESTION # 35
You have just received a new data set from a colleague. You want to quickly find out summary information about the data set, such as the types of features, total number of observations, and data distributions, Which Accelerated Data Science (ADS) SDK method from the AD&Dataset class would you use?
- A. Show_corr{}
- B. Show_in_notebook{}
- C. Compute{}
- D. To_xgb{}
Answer: B
NEW QUESTION # 36
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. OCI Vault
- B. Model Catalog
- C. Data Science Artifactory
- D. Model Depository
Answer: B
NEW QUESTION # 37
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. Sentence diagramming
- E. Table extraction
Answer: A
NEW QUESTION # 38
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 # 39
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. ADS Explainer
- B. ADSTuner
- C. EvaluationMetrics
- D. ADS Evaluator
Answer: C
NEW QUESTION # 40
You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image dat a. Which of the following THREE are possible ways to annotate an image in Data Labeling?
- A. Adding a single label to an image.
- B. Adding labels to an image by drawing bounding box to an image, is not supported by Data Labeling
- C. Adding labels to an image using object detection, by drawing bounding boxes to an im-age.
- D. Adding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.
- E. Adding multiple labels to an image.
Answer: A,C,E
NEW QUESTION # 41
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. Global and local behaviors of machine learning models are similar.
- B. Local explanation techniques are model agnostic, while global explanation techniques are not.
- C. Model-agnostic techniques are more interpretable than techniques that are dependent on the types of models.
- D. Global behavior of a machine learning model may be complex, while the local behavior may be approximated with a simpler surrogate model.
Answer: D
NEW QUESTION # 42
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