Question 1

Explain how Dynatrace AI handles anomalies in application behavior and the benefits of proactive anomaly detection.

Options :

A : Dynatrace AI relies solely on predefined thresholds for anomaly detection.

B : It uses machine learning to detect patterns and proactively identify anomalies.

C : Anomalies are ignored to prevent false positives.

D : Anomalies are addressed only after user complaints.

Answer: B

Question 2

How does Dynatrace detect and present services within a monitored environment?

Options :

A : Services are configured based on user-defined criteria.

B : Dynatrace relies on external service registries for detection.

C : Services are automatically discovered based on observed traffic and dependencies.

D : Services are presented based on service metadata.

Answer: C

Question 3

Which of the following is NOT an event severity level in Dynatrace?

Options :

A : Availability

B : Resource

C : Anomaly

D : Error

E : Slowdown

Answer: C

Question 4

What feature in Dynatrace monitors and analyzes the performance of mobile applications, providing insights into user experience and performance metrics?

Options :

A : Mobile app monitoring

B : Davis Security Advisor

C : Service flow

D : Smartscape for AWS

Answer: A

Question 5

Which of the following categories of operating system memory usage does Dynatrace track? Select all that apply

Options :

A : Paged

B : Swappable

C : Reclaimable

D : Used

E : Free

Answer: A,D