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Oracle 1Z0-1110-26 Exam Syllabus Topics:

Oracle Cloud Infrastructure Data Science Professional Sample Questions:

1. 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_STARTS_WITH
B) URL_IS
C) URL_PART_CONTAINS
D) URL_PART_ENDS_WITH

2. In which two ways can you improve data durability in Oracle Cloud Infrastructure Object Storage?

A) Limit delete permissions
B) Enable client-side encryption
C) Setup volumes in a RAID1 configuration
D) Enable Versioning
E) Enable server-side encryption

3. 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, 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
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) 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
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

4. Which architecture is based on the principle of “never trust, always verify”?

A) Fluid perimeter
B) Defense in depth
C) Zero trust
D) Federated identity

5. 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 your code to expect different parameters as command-line arguments and create a new job every time you run the code
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 a new job every time you need to run your code and pass the parameters as environment variables

Solutions: