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Observability Pipelines- Tech Talks

Total questions: 14

Worksheet time: 7mins

Name
Class
Date
1.

What is the primary goal of Datadog Observability Pipelines?

a)

Increase data volume

b)

Store more metrics

c)

Control how log data flows across systems

d)

Replace logging tools

2.

What kind of builder does OP use?

a)

Command line

b)

No-code visual interface

c)

XML editor

d)

YAML config only

3.

Which teams care most about filtering and routing logs to reduce cost?

a)

Marketing

b)

Finance

c)

FinOps and DevOps

d)

HR

4.

Can OP send logs to multiple destinations like S3, Splunk, or a SIEM?

a)

No

b)

Yes

c)

Only if you buy an add-on

d)

Only to Datadog

5.

What is one way OP supports compliance (e.g., PCI, GDPR)?

a)

Encrypts emails

b)

Blocks access to data

c)

Redacts PII before it leaves your infra

d)

Runs daily audits

6.

How does OP help DevOps teams improve incident response?

a)

Adds more alerting

b)

Filters logs post-ingestion

c)

Reduces noise and enriches logs before routing

d)

Sends alerts via SMS

7.

Why is reducing log volume before ingest valuable?

a)

It improves dashboard speed

b)

It saves on ingestion and storage costs

c)

It creates more alerts

d)

It increases logging accuracy

8.

What is a key advantage of using OP instead of Cribl?

a)

Built into the observability platform

b)

More customizable agents

c)

Supports only logs

d)

Cheaper storage

9.

Which type of telemetry does OP support beyond just logs?

a)

Alerts and webhooks

b)

Metrics and traces

c)

Dashboards

d)

Reports

10.

What is a key benefit for SREs using OP?

a)

Automate deployments

b)

Lower latency

c)

Enriched telemetry for faster troubleshooting

d)

More security alerts

11.

What happens when teams lack centralized control over log routing?

a)

 Increased speed

b)

Better compliance

c)

Tool sprawl and visibility gaps

d)

Reduced data

12.

How does OP help streamline audit readiness?

a)

Stores audit logs forever

b)

Enables manual tagging

c)

Centralizes logging policies and redacts sensitive data

d)

Notifies compliance teams

13.

How does OP improve RCA (root cause analysis)?

a)

Adds more alerts

b)

Removes noise and adds context

c)

Uses AI to guess issues

d)

Shortens logs

14.

Which of the following is a BEFORE scenario for DevOps teams?

a)

Filtered logs

b)

Long MTTR and high log volume

c)

Easy RCA

d)

Centralized pipelines