Free Oracle 1z0-1110-23 Exam Dumps Questions & Answers

data scientist, you use the Oracle Cloud Infrastructure (OCI) Language service to train custom models. Which types of custom models can be trained?

• A.  Object detection, Text classification
• B.  Image classification, Named Entity Recognition (NER)
• C.  Text classification, Named Entity Recognition (NER)
• D.  Sentiment Analysis, Named Entity Recognition (NER)

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.  XML
• B.  Raw Images
• C.  DOCX
• D.  JSON
• E.  Pandas DataFram

Which two statements are true about published conda environments?

• A.  Your notebook session acts as the source to share published conda environments with team members.
• B.  They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
• C.  You can only create a published conda environment by modifying a Data Science conda environment.
• D.  The odac conda init command is used to configure the location of published conda environments.
• E.  In addition to service job run environment variables, conda environment variables can be used in Data Science Jobs.

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.  XML
• B.  Raw Images
• C.  DOCX
• D.  JSON
• E.  Pandas DataFrame

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 steps to develop a PySpark application in Oracle Cloud Infrastructure (OCI) Data Science?

• A.  Launch a notebook session. Configure core-site.xml. Install a PySpark conda environment.
• B.  Develop your PySpark application. Create a Data Flow application with the Accelerated Data Science (ADS) SDK.
• C.  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.
• D.  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.
• E.  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.