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Oracle 1Z0-1110-26 Exam Syllabus Topics:

Oracle Cloud Infrastructure Data Science Professional Sample Questions:

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

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

2. Which statement accurately describes an aspect of machine learning models?

A) A high-quality model will not need to be retrained as new information is received.
B) Static predictions become increasingly accurate over time.
C) Model performance degrades over time due to changes in data.
D) Data models are more static and generally require fewer updates than software code.

3. You are a data scientist with a set of text and image files that need annotation, and you want to use Oracle Cloud Infrastructure (OCI) Data Labeling. Which of the following THREE annotation classes are supported by the tool?

A) Named entity extraction
B) Semantic segmentation
C) Classification (single/multi-label)
D) Key-point and landmark
E) Polygonal segmentation
F) Object detection

4. You are a data scientist trying to load data into your notebook session. You understand that Accelerated Data Science (ADS) SDK supports loading various data formats. Which of the following THREE are ADS-supported data formats?

A) Raw Images
B) XML
C) JSON
D) DOCX
E) Pandas DataFrame

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) Topic classification
B) Table extraction
C) Punctuation correction
D) Sentiment analysis
E) Sentence diagramming

Solutions: