Oracle 1Z0-1110-23
Certification Exam Syllabus and Exam Questions
Oracle 1Z0-1110-23 Exam
Get complete detail on 1Z0-1110-23 exam guide to crack Oracle Cloud Infrastructure Data Science 2023 Professional. You can collect all information on 1Z0-1110-23 tutorial, practice test, books, study material, exam questions, and syllabus. Firm your knowledge on Oracle Cloud Infrastructure Data Science 2023 Professional and get ready to crack 1Z0-1110-23 certification. Explore all information on 1Z0-1110-23 exam with number of questions, passing percentage and time duration to complete test.
How to Prepare for 1Z0-1110-23 Exam on Oracle Cloud Infrastructure Data Science 2023 Professional Certification?
The Oracle Cloud Infrastructure Data Science 2023 Professional (1Z0-1110-23) preparation guide helps you to get focused on the exam. This guide also helps you to be on the 1Z0-1110-23 exam track to get certified with a good score in the final exam.
1Z0-1110-23 Oracle Cloud Infrastructure Data Science 2023 Professional Exam Summary
Exam Name Oracle Cloud Infrastructure Data Science 2023 Professional
Exam Code 1Z0-1110-23
Exam Product Version Oracle Cloud Infrastructure 2023
1Z0-1110-23: Oracle Cloud Infrastructure Data Science 2023 Professional 1
Exam Price USD $245 (Pricing may vary by country or by localized currency)
Duration 90 minutes
Number of Questions 55
Passing Score 65%
Format Multiple Choice Questions (MCQ)
Recommended Training Become an OCI Data Science Professional (2023)
Schedule Exam Buy Oracle Training and Certification
Sample Questions Oracle Cloud Infrastructure 2023 Certified Data Science Professional
Recommended Practice 1Z0-1110-23 Online Practice Exam
Exam Syllabus: 1Z0-1110-23 Oracle Cloud Infrastructure Data Science 2023 Professional
OCI Data ScienceIntroduction & Configuration
Design and Set up OCI Data Science Workspace
- Discuss OCI Data Science Overview & Concepts
- Understand the capabilities of Accelerated Data Science(ADS) SDK
- Configure your tenancy for Data Science 10%
- Create and manage Projects and Notebook sessions
- Create and manage Conda environments
- Store credentials via OCI Vault
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Apply MLOps Practices
- Discuss ML Lifecycle Overview
- Access data from different sources
- Explore and Prepare data
- Visualize and Profile data
- Configure and manage source code in Code Repositories (Git) Implement end-to-end Machine Learning Lifecycle
- Create and train models using OCI and Open source Libraries
- Create and Use automated ML capability from Oracle AutoML
- Evaluate models
- Obtain Global & Local Model Explanations
- Manage models using Model Catalog
- Deploy & Invoke a Cataloged Model
- Understand OCI MLOps Architecture
- Create & Manage Jobs for custom tasks
- Scale with OCI Data Science
- Monitor & Log using MLOps Practices
- Use Pipelines to automate machine learning workflow
- Create and Manage Spark Applications using Data Flow and OCI Data Science
- Understand OCI Open Data Service
Use related OCI Services
- Create and Export a Dataset using OCI Data Labeling
- Use OCI AI Services for ML Solutions
40%
15%
20%
Oracle 1Z0-1110-23 Certification Sample Questions and Answers
To make you familiar with the Oracle Cloud Infrastructure Data Science 2023 Professional (1Z01110-23) certification exam structure, we have prepared this sample question set. We suggest you to try our Sample Questions for Oracle 1Z0-1110-23 Certification to test your understanding of the Oracle 1Z0-1110-23 process with the real Oracle certification exam environment.
1Z0-1110-23 Oracle Cloud Infrastructure Data Science 2023
Professional Sample Questions
01. What preparation steps are required to access an Oracle AI service SDK from a Data Science notebook session?
a) Call the Accented Data Science (ADS) command to enable Al integration
b) Create and upload the API signing key and config file
c) Import the REST API
1Z0-1110-23: Oracle Cloud Infrastructure Data Science 2023 Professional 3
d) Create and upload execute.py and runtime.yaml
02. Which OCI service enables you to build, train, and deploy machine learning models in the cloud?
a) Oracle Cloud Infrastructure Data Catalog
b) Oracle Cloud Infrastructure Data Integration
c) Oracle Cloud Infrastructure Data Science
d) Oracle Cloud Infrastructure Data Flow
03. Which OCI service provides a managed Kubernetes service for deploying, scaling, and managing containerized applications?
a) Oracle Cloud Infrastructure Container Registry
b) Oracle Cloud Infrastructure Load Balancing
c) Oracle Cloud Infrastructure Container Engine for Kubernetes
d) Oracle Cloud Infrastructure Streaming
04. 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 pa-rameters with Oracle Data Science Jobs?
a) Create a new job every time you need to run your code and pass the parameters as environment variables.
b) Create your code to expect different parameters as command line arguments, and create it new job every time you run the code.
c) Create a new no by setting the required parameters in your code, and create a new job for mery code change.
d) 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.
05. 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 predict log in the Oracle Cloud Infrastructure (OCI) Logging service as defined in the deployment.
c) The OCI Cloud Shell, which can be accessed from the console.
d) The OCI console.
06. You are a data scientist using Oracle AutoML to produce a model and you are evaluating the score metric for the model.
Which of the following TWO prevailing metrics would you use for evaluating multiclass classification model?
a) Recall
b) Mean squared error
c) F1 Score
d) R-Squared
e) Explained variance score
1Z0-1110-23: Oracle Cloud Infrastructure Data Science 2023
07. How can you collaborate with team members in OCI Data Science Workspace?
a) By granting access to specific notebooks and files
b) By using version control systems integrated with the workspace
c) By sharing the workspace instance with other users
d) By enabling chat and video conferencing within the workspace
08. How is the storage associated with OCI Data Science Workspace managed?
a) Data is stored on local disk within the workspace instance.
b) Data is automatically stored in an attached Object Storage bucket.
c) Data is stored in a separate File Storage service.
d) Data is stored in an external database using block volumes.
09. What does MLOps stand for?
a) Machine Learning Optimization Strategies
b) Model Lifecycle Operations
c) Machine Learning Operations
d) Managed Learning Operations
10. Which technique can be used for feature engineering in the machine learning lifecycle?
a) Principal Component Analysis (PCA)
b) K-means clustering
c) Support Vector Machines (SVM)
d) Gradient boosting
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How to Register for 1Z0-1110-23 Oracle Cloud Infrastructure Data Science 2023 Professional Exam?
● Purchase exam voucher from Oracle University
● Register for exam at Buy Oracle Training and Certification
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