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Oracle 1Z0-1110-26 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Design and Set Up Data Science Workspace | - Create and configure Data Science projects - Manage notebook sessions and compute resources - Use Accelerated Data Science SDK and open source tools |
| Topic 2: Apply MLOps Practices | - Use best practices for operationalizing ML solutions - Implement model lifecycle management - Monitor and maintain machine learning models |
| Topic 3: Implement End-to-End Machine Learning Lifecycle | - Deploy models and consume model endpoints - Prepare and manage datasets - Save and manage models using Model Catalog - Build, train, and evaluate machine learning models - Automate machine learning workflows and pipelines |
| Topic 4: Use Related OCI Services | - Integrate OCI Data and AI services - Design machine learning solutions for business use cases - Apply OCI services for data ingestion, storage, and processing |
| Topic 5: OCI Data Science - Introduction and Configuration | - Use OCI Data Science notebooks and sessions - Configure and manage Data Science resources - Understand OCI Data Science service concepts and architecture |
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
1. What is the first step in the data science process?
A) Defining an analytical hypothesis that could provide business value
B) Collecting data and preparing it for analysis
C) Experimenting with and tuning different analytical models
D) Working with data owners
2. 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 parameters with Oracle Data Science Jobs?
A) Create a new job by setting the required parameters in your code, and create a new job for every code change
B) Create a new job every time you need to run your code and pass the parameters as environment variables
C) Create your code to expect different parameters as command-line arguments, and create a new job every time you run the code
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
3. Which Security Zone policy is NOT valid?
A) A compute instance cannot be moved from a security zone to a standard compartment
B) Resources in a security zone should not be accessible from the public internet
C) Resources in a security zone must be automatically backed up regularly
D) A boot volume can be moved from a security zone to a standard compartment
4. You are a data scientist working inside a notebook session and you attempt to pip install a package from a public repository that is not included in your conda environment. After running this command, you get a network timeout error. What might be missing from your network configuration?
A) The NAT Gateway with public internet access
B) Service Gateway with private subnet access
C) FastConnect to an on-premises network
D) Primary Virtual Network Interface Card (VNIC)
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) Table extraction
B) Punctuation correction
C) Topic classification
D) Sentiment analysis
E) Sentence diagramming
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: C,D |

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