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GCP AI > GCP AI Services > Flashcards

GCP AI Services Flashcards

1
Q

What is Vertex AI

A

is a fully-managed, unified AI development platform for building and using generative AI. Access and utilize Vertex AI Studio, Agent Builder, and 150+ foundation models.

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2
Q

What is Vertex Studio

A

provides APIs for leading foundation models, and tools to rapidly prototype, easily tune models with your own data, and seamlessly deploy to applications.

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3
Q

What is Vertex AI Agent Builder

A

Create AI agents and applications using natural language or a code-first approach. Easily ground your agents or apps in enterprise data with a range of options. Vertex AI Agent Builder gathers all the surfaces and tools that developers need to build their AI agents and applications.

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4
Q

Spech to Text

A

Convert audio into text transcriptions and integrate speech recognition into applications with easy-to-use APIs.

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5
Q

Vision AI

A

Service offering custom and pre-trained models to detect emotion, text, objects, and more in images and videos. Supports multiple vision-based ML tasks.

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6
Q

Natural Language AI

A

Service for sentiment analysis and classification of unstructured text. Provides entity recognition, content classification, and syntax analysis.

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7
Q

AutoML

A

Service for custom machine learning model training and development without requiring deep ML expertise. Automates model creation and optimization.

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8
Q

Conversational Agents

A

Platform for building conversational AI (chatbots and voice) with both deterministic and generative AI functionality. Enables natural language interactions.

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9
Q

Recommendations AI

A

Service to deliver highly personalized product recommendations at scale. Uses ML to provide relevant recommendations based on user behavior.

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10
Q

Vertex Explainable AI

A

Tools and frameworks to understand and interpret your machine learning models. Helps explain model predictions and behavior.

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11
Q

Gemini for Google Cloud

A

Next-generation AI assistants designed for developers, Google Cloud services, and applications. Provides advanced language understanding and generation capabilities.

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12
Q

Cloud GPUs

A

GPU infrastructure for machine learning, scientific computing, and 3D visualization. Provides accelerated computing resources.

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13
Q

Cloud TPUs

A

Tensor Processing Units specifically designed for machine learning applications. Custom-built AI accelerators for TensorFlow workloads.

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14
Q

Deep Learning VM Image

A

Preconfigured virtual machines optimized for deep learning applications. Includes common ML frameworks and tools.

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15
Q

Deep Learning Containers

A

Preconfigured and optimized containers for deep learning environments. Provides ready-to-use ML development environments.

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16
Q

Customer Engagement Suite with Google AI

A

End-to-end application combining advanced conversational AI for customer engagement. Integrates multiple AI services for customer interaction.

17
Q

Document AI

A

Machine learning and AI tools for processing and analyzing documents. Extracts structured data from unstructured documents.

18
Q

Vertex AI Search for retail

A

Google-quality search and recommendations specifically designed for retailers’ digital properties. Helps increase conversions and reduce search abandonment.

19
Q

Looker

A

Platform for BI, data applications, and embedded analytics. Provides advanced data visualization and analysis capabilities.

20
Q

Looker Studio

A

Interactive data suite for dashboarding, reporting, and analytics. Enables creation of interactive data visualizations and reports.

21
Q

BigQuery

A

Enterprise data warehouse that provides:

Serverless architecture
Real-time analytics
Built-in ML capabilities
Petabyte-scale querying
Automatic replication and backup
Standard SQL support

22
Q

Dataproc

A

Managed service for:

Running Apache Spark clusters
Apache Hadoop workloads
Fast cluster creation
Integration with other Google Cloud services
Per-second billing
Built-in monitoring

23
Q

Dataflow

A

Stream and batch data processing service that offers:

Real-time data pipeline creation
Apache Beam SDK support
Serverless execution
Automatic scaling
Real-time streaming analytics
Built-in transformation templates

Like streaming kafka

24
Q

Dataform

A

Service for:

Building SQL workflows in BigQuery
Version control for data transformations
Data pipeline management
Data quality validation
Incremental processing
Dependency management

AWS = glue
Azure data factory / synaps
Databrikcs

25
Q

Pub/Sub

A

Global messaging and event ingestion service providing:

Real-time message delivery
At-least-once delivery guarantee
Auto-scaling
Global message routing
Push and pull delivery
Message filtering

26
Q

Cloud Data Fusion

A

Fully managed, cloud-native data integration service that offers:

Code-free data pipeline development
150+ preconfigured connectors and transformations
Visual interface for ETL
Data lineage tracking
Plug-in architecture
Enterprise governance features

AWS = GLue
Azure = Data Factory

27
Q

Data Catalog

A

Fully managed metadata management service featuring:

Automated metadata discovery
Schema and data discovery
Business metadata management
Integrated search
Tags and business glossary
API access

28
Q

Cloud Composer

A

Managed workflow orchestration service that provides:

Apache Airflow management
DAG-based workflow creation
Multi-cloud orchestration - this is big
Built-in monitoring
Integration with Google Cloud services
Python-based workflow definitions

Similar to Azure Data Factory
AWS = Managed workflow, step functions and glue

29
Q

Dataplex

A

: Intelligent data fabric offering:

Unified data management
Automated data quality
Integrated security
Cross-data discovery
Central governance
Analytics workbench

Similar to AWS Lake Formation
Aure Synaps

30
Q

Analytics Hub

A

Service for:

Secure data analytics exchange
Publisher/subscriber model for data sharing
Analytics asset discovery
Controlled data access
Usage monitoring
Commercial data marketplace

AWS = ADX, S3, GLue Data Catalog

Azure = data catalog, data share

31
Q

BigLake

A

Storage engine that:

Unifies data warehouses and lakes
Provides consistent security
Enables cross-platform querying
Supports multiple storage formats
Offers fine-grained access control
Enables unified governance

AWS = lake formation
Azure = Data lake Gen2 & Synaps

32
Q

Earth Engine

A

Geospatial processing service providing:

Planetary-scale analysis capabilities
Historical earth observation data
Real-time data processing
Custom analysis algorithms
Integration with other GCP services
Environmental monitoring tools

33
Q

Google Marketing Platform

A

Marketing analytics platform offering:

Unified advertising and analytics
Cross-channel campaign management
Attribution modeling
Audience insights
Data visualization
Integration with Google Ads
Note: Not an official Google Cloud product, covered under separate Terms of Service

GCP AI (9 decks)

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