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Oracle 1Z0-1110-26 Exam Syllabus Topics:

Oracle Cloud Infrastructure Data Science Professional Sample Questions:

1. What is a common maxim about data scientists?

A) They spend 80% of their time analyzing data and 20% finding and preparing it.
B) They spend 80% of their time on failed analytics projects and 20% doing useful work.
C) They spend 80% of their time finding and preparing data and 20% analyzing it.

2. Which of the following best describes the principal goal of data science?

A) To collect and archive exhaustive datasets from various source systems for corporate record-keeping uses.
B) To mine and analyze large amounts of data in order to uncover information that can be used for operational improvements and business gains.
C) Data science is focused on output of the analysis.
D) To collect and prepare data for use as part of analytics applications.

3. You are working as a Data Scientist for a healthcare company. You have a series of neurophysiological data on OCI Data Science and have developed a convolutional neural network (CNN) classification model. It predicts the source of seizures in drug-resistant epileptic patients. You created a model artifact with all the necessary files. When you deployed the model, it failed to run because you did not point to the correct conda environment in the model artifact. Where would you provide instructions to use the correct conda environment?

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

4. 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 stepsto develop a PySpark application in Oracle Cloud Infrastructure (OCI) Data Science?

A) 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
B) Launch a notebook session, configure core-site.xml, install a PySpark conda environment, develop your PySpark application, create a Data Flow application with the Accelerated Data Science (ADS) SDK
C) 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
D) 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

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

Solutions: