Oracle 1Z0-1110-25 Online Practice Questions and Exam Preparation

Oracle 1Z0-1110-25 Online Questions & Answers

• Question 41:

  Which cache rules criterion matches if the concatenation of the requested URL path and query are identical to the contents of the value field?

  A. URL_PART_CONTAINS
  B. URL_IS
  C. URL_PART_ENDS_WITH
  D. URL_STARTS_WITH
  B. URL_IS

• Question 42:

  How are datasets exported in the OCI Data Labeling service?

  A. As a binary file
  B. As an XML file
  C. As a line-delimited JSON file
  D. As a CSV file
  C. As a line-delimited JSON file

• Question 43:

  Which model has an open-source, open model format that allows you to run machine learning models on different platforms?

  A. PySpark
  B. PyTorch
  C. TensorFlow
  D. ONNX
  D. ONNX

• Question 44:

  Which feature of Oracle Cloud Infrastructure Data Science provides an interactive coding environment for building and training machine learning models?

  A. Model Catalog
  B. Jobs
  C. Notebook Sessions
  D. Projects
  C. Notebook Sessions

• Question 45:

  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. 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
  B. 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
  C. 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
  D. 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. 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

• Question 46:

  What is the first step in the data science process?

  A. Collecting data and preparing it for analysis
  B. Experimenting with and tuning different analytical models
  C. Defining an analytical hypothesis that could provide business value
  D. Working with data owners
  C. Defining an analytical hypothesis that could provide business value

• Question 47:

  Select two reasons why it is important to rotate encryption keys when using Oracle Cloud Infrastructure (OCI) Vault to store credentials or other secrets.

  A. Key rotation allows you to encrypt no more than five keys at a time
  B. Key rotation improves encryption efficiency
  C. Periodically rotating keys makes it easier to reuse keys
  D. Key rotation reduces risk if a key is ever compromised
  E. Periodically rotating keys limits the amount of data encrypted by one key version
  D. Key rotation reduces risk if a key is ever compromised
  E. Periodically rotating keys limits the amount of data encrypted by one key version

• Question 48:

  As a data scientist, you are tasked with creating a model training job that is expected to take different hyperparameter values on every run. What is the most efficient way to set those parameters with Oracle Data Science Jobs?

  A. Create a new job every time you need to run your code and pass the parameters as environment variables
  B. Create a new job by setting the required parameters in your code and create a new job for every code change
  C. Create your code to expect different parameters either as environment variables or as command-line arguments, which are set on every job run with different values
  D. Create your code to expect different parameters as command-line arguments and create a new job every time you run the code
  C. Create your code to expect different parameters either as environment variables or as command-line arguments, which are set on every job run with different values

• Question 49:

  You want to create an anomaly detection model using the OCI Anomaly Detection service that avoids as many false alarms as possible. False Alarm Probability (FAP) indicates model performance. How would you set the value of the False Alarm Probability?

  A. High
  B. Low
  C. Zero
  D. Use a function
  B. Low

• Question 50:

  Which two statements are true about published conda environments?

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