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Oracle 1Z0-1110-26 Exam Syllabus Topics:

Oracle Cloud Infrastructure Data Science Professional Sample Questions:

1. You are a data scientist working for a manufacturing company. You have developed a forecasting 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. What file should be modified to include the missing libraries?

A) requirements.txt
B) runtime.yaml
C) score.py
D) model_artifact_validate.py

2. Which step is a part of the AutoML pipeline?

A) Model saved to Model Catalog
B) Model Deployment
C) Feature Extraction
D) Feature Selection

3. Which OCI service provides a scalable environment for developers and data scientists to run Apache Spark applications at scale?

A) Anomaly Detection
B) Data Flow
C) Data Science
D) Data Labeling

4. Which OCI service provides a managed Kubernetes service for deploying, scaling, and managing containerized applications?

A) Oracle Cloud Infrastructure Container Engine for Kubernetes
B) Oracle Cloud Infrastructure Container Registry
C) Oracle Cloud Infrastructure Load Balancing
D) Oracle Cloud Infrastructure Streaming

5. You want to write a Python script to create a collection of different projects for your data science team. Which Oracle Cloud Infrastructure (OCI) Data Science interface would you use?

A) Command Line Interface (CLI)
B) The OCI Software Development Kit (SDK)
C) OCI Console
D) Mobile App

Solutions: