Grouping similar data without labels is called ________.
- Differential
- Propellant / ISRU
- Clustering
- Thought
Answer: Clustering
Clustering discovers natural groupings in unlabeled data.
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Answer: Clustering
Clustering discovers natural groupings in unlabeled data.
Answer: True
Feature engineering: transformations, interactions, encoding.
Answer: Time Series Forecasting
Time series forecasting models temporal patterns.
Answer: Serverless
Serverless query engines query object storage directly.
Answer: True
Data lakes store raw data; warehouses store curated data.
Answer: Parquet
Parquet is columnar storage optimized for analytics.
Answer: Stream
Stream processing handles continuous data flows.
Answer: True
CDC streams database operations for real-time analytics.
Answer: All of these
Kafka, Flink, Spark Streaming enable real-time analytics.
Answer: Hunting
Threat hunting uses hypotheses and analytics to find hidden adversaries.
Answer: True
IOCs are forensic artifacts for proactive blocking.
Answer: Both A and B
STIX/TAXII standardizes exchange; MITRE ATT&CK catalogs TTPs.
Answer: End-to-End
End-to-end encryption protects data throughout lifecycle.
Answer: True
IaC scanners analyze Terraform/CloudFormation for issues.
Answer: CSPM
CSPM automates detection/remediation of misconfigurations.
Answer: Privilege
Principle of Least Privilege restricts access to essentials.
Answer: True
Micro-segmentation creates granular security zones.
Answer: Both A and B
MFA requires multiple factors; adaptive authentication adjusts based on risk.
Answer: FAME
FAME provides demand incentives for EVs and charging.
Answer: True
NEP 2020 emphasizes computational thinking from Class 6 onwards.