Question 1

You are using Oracle Cloud Infrastructure (OCI) Anomaly Detection to train a model to detect anomalies in pump sensor dat a. What are you trying to determine? How does the required False Alarm Probability setting affect an anomaly detection model?

Options :

A : It is used to disable the reporting of false alarms

B : It changes the sensitivity of the model to detecting anomalies

C : It determines how many false alarms occur before an error message is generated

D : It adds a score to each signal indicating the probability that it-s a false alarm

Answer: B

Question 2

You are a data scientist with a set of text and image files that need annotation, and you want to use Oracle Cloud Infrastructure (OCI) Data Labeling. Which of the following THREE annotation classes are supported by the tool?

Options :

A : Object detection

B : Named entity extraction

C : Classification (single/multi-label)

D : Key-point and landmark

E : Polygonal segmentation

F : Semantic segmentation

Answer: A,C,F

Question 3

Which step is a part of the AutoML pipeline?

Options :

A : Feature Extraction

B : Model saved to Model Catalog

C : Model Deployment

D : Feature Selection

Answer: D

Question 4

You have configured the Management Agent on an Oracle Cloud Infrastructure (OCI) Linux instance for log ingestion purposes. Which is a required configuration for OCI Logging Analytics service to collect data from multiple logs of this instance?

Options :

A : Log - Log Group Association

B : Entity - Log Association

C : Source - Entity Association

D : Log Group - Source Association

Answer: C

Question 5

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?

Options :

A : High

B : Low

C : Zero

D : Use a function

Answer: B