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Oracle 1Z0-1110-26 Exam Syllabus Topics:

Oracle Cloud Infrastructure Data Science Professional Sample Questions:

1. You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image dat a. Which of the following THREE are possible ways to annotate an image in Data Labeling?

A) Adding labels to an image using object detection, by drawing bounding boxes to an image
B) Adding labels to an image using semantic segmentation, by drawing multiple bounding boxes to an image
C) Adding multiple labels to an image
D) Adding a single label to an image
E) Adding labels to an image by drawing a bounding box to an image is not supported by Data Labeling

2. As a data scientist, you are trying to automate a machine learning (ML) workflow and have decided to use Oracle Cloud Infrastructure (OCI) AutoML Pipeline. Which THREE are part of the AutoML Pipeline?

A) Feature Selection
B) Adaptive Sampling
C) Algorithm Selection
D) Model Deployment
E) Feature Extraction

3. As a data scientist for a hardware company, you have been asked to predict the revenue demand for the upcoming quarter. You develop a time series forecasting model to analyze the dat a. Select the correct sequence of steps to predict the revenue demand values for the upcoming quarter.

A) Prepare model, deploy, verify, save, predict
B) Verify, prepare model, deploy, save, predict
C) Predict, deploy, save, verify, prepare model
D) Prepare model, verify, save, deploy, predict

4. Which Oracle Cloud Service provides restricted access to target resources?

A) SSL Certificate
B) Internet Gateway
C) Load Balancer
D) Bastion

5. 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

Solutions: