Large-Scale Metrics Architecture
Certification Module Exam Practice
Questions And Correct Answers
(Verified Answers) Plus Rationales 2026
Q&A | Instant Download Pdf
1. What is the primary purpose of a large-scale metrics architecture?
A. Store application logs permanently
B. Collect, process, and analyze system and application metrics
C. Replace databases in distributed systems
D. Encrypt network traffic
Answer: B) Collect, process, and analyze system and application metrics
Rationale: Metrics architectures are designed to gather and analyze
performance and operational data at scale for observability.
2. Which component is responsible for scraping metrics in Prometheus-
style systems?
A. Grafana
, B. Node Exporter
C. Prometheus server
D. Loki
Answer: C) Prometheus server
Rationale: The Prometheus server scrapes metrics from configured targets
at defined intervals.
3. What is a metric in observability systems?
A. A raw log entry
B. A structured numeric measurement over time
C. A security alert
D. A configuration file
Answer: B) A structured numeric measurement over time
Rationale: Metrics represent quantifiable measurements like CPU usage or
request latency.
4. Which storage type is most commonly used for high-scale metrics
systems?
A. Object storage only
B. Time-series database
C. Graph database
D. Relational database only
,Answer: B) Time-series database
Rationale: Metrics are stored in time-series databases optimized for time-
indexed data.
5. What is cardinality in metrics systems?
A. Number of servers
B. Number of unique metric label combinations
C. CPU usage
D. Storage size
Answer: B) Number of unique metric label combinations
Rationale: High cardinality increases storage and query complexity.
6. Which tool is commonly used for metrics visualization?
A. Kibana
B. Grafana
C. Fluentd
D. Jaeger
Answer: B) Grafana
Rationale: Grafana is widely used for dashboards and visualization of
metrics data.
7. What is a time series?
A. A sequence of random values
B. Data indexed by timestamps
, C. A log file format
D. A configuration file type
Answer: B) Data indexed by timestamps
Rationale: Time series represent data points ordered by time.
8. What is scraping in metrics collection?
A. Encrypting data
B. Pulling metrics from endpoints
C. Sending logs to storage
D. Compressing files
Answer: B) Pulling metrics from endpoints
Rationale: Scraping refers to periodically collecting metrics via HTTP
endpoints.
9. Which exporter exposes hardware and OS metrics?
A. MySQL Exporter
B. Node Exporter
C. JMX Exporter
D. Blackbox Exporter
Answer: B) Node Exporter
Rationale: Node Exporter collects system-level metrics like CPU, memory,
and disk.
Certification Module Exam Practice
Questions And Correct Answers
(Verified Answers) Plus Rationales 2026
Q&A | Instant Download Pdf
1. What is the primary purpose of a large-scale metrics architecture?
A. Store application logs permanently
B. Collect, process, and analyze system and application metrics
C. Replace databases in distributed systems
D. Encrypt network traffic
Answer: B) Collect, process, and analyze system and application metrics
Rationale: Metrics architectures are designed to gather and analyze
performance and operational data at scale for observability.
2. Which component is responsible for scraping metrics in Prometheus-
style systems?
A. Grafana
, B. Node Exporter
C. Prometheus server
D. Loki
Answer: C) Prometheus server
Rationale: The Prometheus server scrapes metrics from configured targets
at defined intervals.
3. What is a metric in observability systems?
A. A raw log entry
B. A structured numeric measurement over time
C. A security alert
D. A configuration file
Answer: B) A structured numeric measurement over time
Rationale: Metrics represent quantifiable measurements like CPU usage or
request latency.
4. Which storage type is most commonly used for high-scale metrics
systems?
A. Object storage only
B. Time-series database
C. Graph database
D. Relational database only
,Answer: B) Time-series database
Rationale: Metrics are stored in time-series databases optimized for time-
indexed data.
5. What is cardinality in metrics systems?
A. Number of servers
B. Number of unique metric label combinations
C. CPU usage
D. Storage size
Answer: B) Number of unique metric label combinations
Rationale: High cardinality increases storage and query complexity.
6. Which tool is commonly used for metrics visualization?
A. Kibana
B. Grafana
C. Fluentd
D. Jaeger
Answer: B) Grafana
Rationale: Grafana is widely used for dashboards and visualization of
metrics data.
7. What is a time series?
A. A sequence of random values
B. Data indexed by timestamps
, C. A log file format
D. A configuration file type
Answer: B) Data indexed by timestamps
Rationale: Time series represent data points ordered by time.
8. What is scraping in metrics collection?
A. Encrypting data
B. Pulling metrics from endpoints
C. Sending logs to storage
D. Compressing files
Answer: B) Pulling metrics from endpoints
Rationale: Scraping refers to periodically collecting metrics via HTTP
endpoints.
9. Which exporter exposes hardware and OS metrics?
A. MySQL Exporter
B. Node Exporter
C. JMX Exporter
D. Blackbox Exporter
Answer: B) Node Exporter
Rationale: Node Exporter collects system-level metrics like CPU, memory,
and disk.
