Oracle Cloud Infrastructure Data Science 2023 Professional : 1z0-1110-23

  • Exam Code: 1z0-1110-23
  • Exam Name: Oracle Cloud Infrastructure Data Science 2023 Professional
  • Q & A: 80 Questions and Answers

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About Oracle Cloud Infrastructure Data Science 2023 Professional : 1z0-1110-23 Exam

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Oracle 1z0-1110-23 Exam Overview:

Certification Vendor:Oracle
Exam Name:Oracle Cloud Infrastructure Data Science 2023 Professional
Exam Number:1Z0-1110-23
Passing Score:68%
Available Languages:English
Exam Format:Multiple Choice
Related Certifications:Oracle Cloud Infrastructure Data Science Professional
Real Exam Qty:55
Certificate Validity Period:Oracle certifications do not currently expire unless specifically retired by Oracle
Exam Price:$245 USD
Exam Duration:90 minutes
Sample Questions:Free Download 1z0-1110-23 Exam PDF Torrent
Exam Way:Online proctored exam or test center delivery through Oracle Certification.
Pre Condition:Oracle recommends experience with machine learning concepts, Python, OCI services, and OCI Data Science before attempting the exam.
Official Syllabus URL:https://education.oracle.com/oracle-cloud-infrastructure-data-science-2023-professional/pexam_1Z0-1110-23

Oracle 1z0-1110-23 Exam Syllabus Topics:

SectionWeightObjectives
Data Preparation and Exploration20%- Data Access and Ingestion
  • 1. Data Catalog Usage
  • 2. Object Storage Integration
  • 3. Data Loading Techniques
- Data Analysis
  • 1. Data Cleaning
  • 2. Feature Engineering
  • 3. Data Visualization
Model Development30%- Accelerated Data Science SDK
  • 1. ADS Library Usage
  • 2. Model Catalog Integration
  • 3. Experiment Tracking
- Machine Learning Workflow
  • 1. Model Training
  • 2. Hyperparameter Tuning
  • 3. Model Evaluation
Model Deployment and MLOps25%- Model Deployment
  • 1. Model Endpoints
  • 2. Deployment Pipelines
  • 3. Inference Management
- MLOps Practices
  • 1. Monitoring and Logging
  • 2. Automation Workflows
  • 3. Model Versioning
Security and Governance15%- Governance
  • 1. Audit and Compliance
  • 2. Resource Governance
- OCI Security Controls
  • 1. Data Security
  • 2. Compartments
  • 3. IAM Policies
Introduction to OCI Data Science10%- OCI Data Science Service Overview
  • 1. Resource Management
  • 2. Conda Environments
  • 3. Projects and Workspaces
  • 4. Notebook Sessions

What to Know Before Buying Oracle Cloud Infrastructure Data Science 2023 Professional

Oracle recommends experience with machine learning concepts, Python, OCI services, and OCI Data Science before attempting the exam.

  • Introduction to OCI Data Science (10%)
  • Model Deployment and MLOps (25%)
  • Data Preparation and Exploration (20%)

Allocate study time in proportion to each topic's weight.

The 1z0-1110-23 exam has 55 questions with a 90 minutes-minute time limit. Practicing under the same constraints on TorrentVCE builds the pacing habits you will need on test day.

The PC engine installs on your computer and simulates the real exam scenario with timed tests and performance marking. The online engine runs in your browser, needs no installation, works on most devices, and is often the more stable option when you switch machines frequently.

A passing result on 1z0-1110-23 requires 68%, and the official exam fee is $245 USD. Knowing both numbers upfront helps you budget your study time and money realistically.

The package includes 80 practice questions for the 1z0-1110-23 exam, covering the current Oracle Cloud Infrastructure Data Science 2023 Professional objectives with verified answers.

We support Credit Card payment because it is built around buyer protection: if a purchase issue ever arises, the card network's dispute process protects your money. Combined with our refund policy, that keeps your Oracle Cloud Infrastructure Data Science 2023 Professional purchase low-risk.

Oracle Cloud Infrastructure Data Science 2023 Professional Sample Questions:

Question #1

You are working as a data scientist for a healthcare company. They decide to analyze the data to find patterns in a large volume of electronic medical records. You are asked to build a PySpark solution to analyze these records in a JupyterLab notebook. What is the order of recommended steps to develop a PySpark application in Oracle Cloud Infrastructure (OCI) Data Science?

  • A. Install a Spark conda environment. Configure core-site.xml. Launch a notebook session.
    Create a Data Flow application with the Accelerated Data Science (ADS) SDK. Develop your PySpark application.
  • B. Configure core-site.xml. Install a PySpark conda environment. Create a Data Flow application with the Accelerated Data Science (ADS) SDK. Develop your PySpark application. Launch a notebook session.
  • C. Launch a notebook session. Install a PySpark conda environment. Configure core-site.xml.
    Develop your PySpark application. Create a Data Flow application with the Accelerated Data Science (ADS) SDK.
  • D. Develop your PySpark application. Create a Data Flow application with the Accelerated Data Science (ADS) SDK.
  • E. Launch a notebook session. Configure core-site.xml. Install a PySpark conda environment.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #2

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. pearson_plot()
  • B. cramersv_plot()
  • C. corr()
  • D. correlation_ratio_plot()
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #3

In the Oracle Cloud Infrastructure (OCI) Data Science service, how does Model Catalog help with model deployment and management in MLOps?

  • A. It provides a centralized and scalable way to manage models and their metadata.
  • B. It helps to package the model and its dependencies into a lightweight, portable container.
  • C. It is a database that stores all the features used in a machine learning model.
  • D. It helps to automate the feature engineering process.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #4

You are asked to prepare data for a custom-built model that requires transcribing Spanish video recordings into a readable text format with profane words identified. Which Oracle Cloud service would you use?

  • A. OCI Language
  • B. OCI Speech
  • C. OCI Anomaly Detection
  • D. OCI Translation
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #5

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. Sentiment analysis
  • B. Topic classification
  • C. Table extraction
  • D. Punctuation correction
  • E. Sentence diagramming
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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