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Oracle Cloud Infrastructure Data Science Professional Sample Questions:

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

2. In machine learning, what is the primary difference between supervised and unsupervised learning?

A) Supervised learning involves data that has been labeled and classified, while unsupervised learning data is unlabeled and unclassified.
B) Supervised learning is created and managed by the Data Engineer.
C) Supervised learning is only used for image recognition, while unsupervised learning can be used for various analytics applications.
D) Supervised learning is monitored closely by data scientists, while they don’t play a role inunsupervised learning.

3. Which Web Application Firewall (WAF) service component must be configured to allow, block, or log network requests when they meet specified criteria?

A) Protection rules
B) Origin
C) Web Application Firewall policy
D) Bot Management

4. 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) Use a function
C) Low
D) Zero

5. You want to build a multistep machine learning workflow by using the Oracle Cloud Infrastructure (OCI) Data Science Pipeline feature. How would you configure the conda environment to run a pipeline step?

A) Configure a block volume
B) Use environmental variables
C) Configure a compute shape
D) Use command-line variables

Solutions: