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Oracle 1z0-1110-22 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Explain core OCI Open Data Service concepts
  • Create & Manage Jobs for custom tasks
Topic 2
  • Create and Manage Spark Applications using Data Flow and OCI Data Science
  • Create and manage Conda environments
Topic 3
  • Create and train models using OCI and Open source Libraries
  • Discuss Accelerated Data Science (ADS) SDK Capabilities
Topic 4
  • Create and manage Projects and Notebook sessions
  • Discuss OCI Data Science Overview & Concepts
Topic 5
  • Create and Export a Dataset using OCI Data Labeling
  • Discuss general MLOps Architecture in OCI
Topic 6
  • Implement end-to-end Machine Learning Lifecycle
  • Design and Set up OCI Data Science Workspace
Topic 7
  • Create and Use automated ML capability from Oracle AutoML
  • Configure your tenancy for Data Science
Topic 8
  • Discuss ML Lifecycle Overview
  • Store credentials via OCI Vault
  • Scale with OCI Data Science
Topic 9
  • Manage Models using Model Catalog
  • Deploy & Invoke a Cataloged Model
Topic 10
  • Obtain Global & Local Model Explanations
  • Access data from different sources

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Oracle Cloud Infrastructure Data Science 2022 Professional Sample Questions (Q40-Q45):

NEW QUESTION # 40
You have a data set with fewer than 1000 observations, and you are using Oracle AutoML to build a classifier. While visualizing the results of each stage of the Oracle AutoML pipeline, you notice that no visualization has been generated for one of the stages. Which stage is not visualized?

  • A. Adaptive sampling
  • B. Feature selection
  • C. Algorithm selection
  • D. Hyperparameter tuning

Answer: A


NEW QUESTION # 41
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. Drift monitoring
  • B. Validate the model using recent data
  • C. Operational monitoring
  • D. Retrain the model
  • E. Redeploy the model

Answer: B,D


NEW QUESTION # 42
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 create --file manifest.yaml
  • B. odsc conda list --override
  • C. odsc conda publish --slug SLUG
  • D. odsc conda init -b your-bucket-name -a api_key or resource_principal

Answer: C,D


NEW QUESTION # 43
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, Feature selection, Adaptive sampling, Hyperparameter tuning.
  • B. Adaptive sampling, Algorithm selection, Feature selection, Hyperparameter tuning.
  • C. Adaptive sampling, Feature selection, Algorithm selection, Hyperparameter tuning.
  • D. Algorithm selection, Adaptive sampling. Feature selection, Hyperparameter tuning.

Answer: D


NEW QUESTION # 44
You are a data scientist working for a manufacturing company, you have developed a fore-casting model to predict the sales demand in the upcoming months. You created a model artifact that contained custom logic requiring third party libraries. When you deployed the model, it failed to run because you did not include all the third-party dependencies in the model artifact.?

  • A. Score.py
  • B. Runtime.yaml
  • C. Requirement.txt
  • D. Model_artifact_validate.py

Answer: C


NEW QUESTION # 45
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