Crowdly

Browser cookies

E-commerce reviews

Medical billing info

Health diagnoses

Which statements about web beacons are accurate?

They must be visible UI controls to work

They fully replace server-side logs in all analytics pipelines

They can transmit or trigger collection of visit/device information

They are used in marketing or usage analytics

They are also called tracking pixels or web bugs

Random Forest and Gradient Boosting are best described as:

Graph query languages

Web scraping frameworks for dynamic pages

Cookie storage strategies

Vector indexes in PostgreSQL

Tree-based ensemble methods often used for classification or regression

Graph centrality metrics include:

Betweenness Centrality

Degree Centrality

Database Size

Eigenvector Centrality

Network graph depth

Which are the common data security threats?

Phishing

DDoS

SQL Injection

Ransomware

JavaScript warnings

What does a graph G(V,E) represent?

Keywords and search terms

Pages and databases

Vertices and paths

Nodes (V) and edges (E)

Files and folders

What cloud services provide security solutions?

FastAPI

Google IAM

TensorFlow

AWS Shield

Azure Security Center

Compared with stemming, lemmatization is generally more context-aware because it:

Works only for numerical features

Requires no language resources or models

Produces intentionally non-existing roots

Always removes all stop words before processing

Uses vocabulary/dictionary and grammatical information to return a lemma

Which operation in Pandas is used to combine two DataFrames horizontally by column?

append()

pivot()

groupby()

concat(axis=1)

merge()

Beautiful Soup is most appropriate when the task is to:

Run a managed graph database

Perform distributed stream aggregation

Train a transformer-based classifier

Maintain authentication cookies automatically at scale

Parse HTML/XML and extract selected elements