Google Services

Question 1

Google Compute Engine (GCE)

Answer 1

Provides compute infrastructure to provision VIrtual Machine instances which you can create or control using predefined Google Images or your own (IaaS)

Question 2

Google Kubernetes Engine (GKE)

Answer 2

Allows createion of Kubernetes clusters on demand and is auto cluster and scaled. Its integrated with other services such as container repository. (CaaS)

Question 3

Google App Engine (GAE)

Answer 3

Allows developers to lack knowledge in infrastructure by scaling, hosting, monitoring, and updating infrastructure and allows both Standard (common sets of languages) and Flexible (custom) coding frameworks (PaaS)

Question 4

Cloud Functions

Answer 4

Allows you to write functions in supported languages, ideal for executing simple tasts like data processing, mobile backends, and IoT functions. (FaaS)

Question 5

Cloud Storage

Answer 5

Fully managed, object-oriented storage service with infinate capacity allowing the creation of buckets that store your data

Question 6

File Store

Answer 6

A managed file service which allows users to provision a Network Attached Storage (NAS) service that can be integrated with GCE and GKE. Offers Standard and Premium tiers which have different Input/Output operations per second (I/Ops) and throughputs.

Question 7

Cloud SQL

Answer 7

Fully managed relational database for MySQL or PostgreSQL, offering data replication, back ups, data, exports, and monitoring.

Question 8

Cloud Datastore

Answer 8

Fully managed Non-SQL database, ideal for applications that rely on highly available structured data at scale.

Question 9

Cloud Firestore

Answer 9

Next generation Cloud Datastore with enhanced features

Question 10

Cloud Spanner

Answer 10

A fully managed, globablly distributed and highly consistent database service. Users can define a schema and leverage industry standard SQL. High performing at 99.999% SLA.

Question 11

BigTable

Answer 11

Massive scale non-SQL database with sub-10ms latency. Used by Google for Gmail and Google Maps. Ideal for fintech, IoT, and ML storage use cases. Integrates easily with Dataproc and Dataflow, but is much more expensive than Datastore.

Question 12

Software-Defined Neworks

Answer 12

You can allow users to deliver all networking services programatically (SDNs)

Question 13

Virtual Private Cloud

Answer 13

the foundation of GCP networking. Each GCP project has a default VPC but a user can create new networks. Similar to a cloud version of a physcial network, can contain multiple subnes, creates a global logical boundry that allows communication between VPCs but traffic needs to be traversing the internet to use of use VPC peering.

Question 14

Load Balancer

Answer 14

Allows the distribution of traffic between your workloads and is available for GCE, GKE, and GAE with both regional and global scopes.

Question 15

Virtual Private Networks (VPNs)

Answer 15

Allows a connection between on-premesis network and GCP VPC through an IPsec tunnel over the internet. Only site-to-site VPNs are supported and they must have two gateways on each side of the tunnel.

Question 16

Cloud Interconnect

Answer 16

If there’s a need for low latency and high availability connection, interconnect should be considered. In this case, traffic does not traverse the internet.

Question 17

Cloud Router

Answer 17

A service that allows for dynamic routhing exchange between compute engine, VPNs, and external networks

Question 18

Cloud DNS

Answer 18

A managed DNS service with 100% SLA and translates domains into IP addresses. DNS can also host private zones accessible only from your GCP network and can be integrated on-premesis where your local DNS is authorized and Cloud DNS is responsible for caching

Question 19

Cloud Content Delivery Network (CDN)

Answer 19

A service that allows the caching of HTTP(S) load balanced content, including Cloud Storage bucket objects. This can help reduce DDoS attacks.

Question 20

Cloud NAT

Answer 20

A regional service that allows VMs without external IPs to communicate with the internet, fully managed with auto-scalability and works with GCE and GKE. Better alternative for NAT instances that need to be managed by users.

Question 21

Firewalls

Answer 21

A service that allows for micro-segmentation. Firewall rules are created per VPC and can be based on IPs, IP ranges, tags, and service accounts. Default rules can be changed.

Question 22

Identity Aware Proxy

Answer 22

Replaces he VPN when the user is working from an untrusted network, controlling access using user identity, device status, and IP Address (Google Beyond Corp)

Question 23

Cloud Armor

Answer 23

Allows protection against infrastructure DDoS attacks using Google’s global infrastructure and security systems. Integrates with HTTP(S) load balancers and blocks traffic based on IP Addresses or ranges. Preview mode allows users to analyze the attack pattern without cutting off regular users.

Question 24

BigQuery

Answer 24

A highly scalable and fully managed data cloud warehouse. Allows users to perform analytics operations with built in ML. Completely serverless and can host petabytes of data, scales seamlessly, and allows parallel data processing. Data can be stored in BigQuery, Cloud Storage, BigTable, Sheets, or Google Drive. Uses ANSI-compliant SQL and ODBC and JDBC drivers.

Question 25

Cloud Pub/Sub

Answer 25

A fully managed, asynchronous messaging service that allows loose coupling of application components. Services are serverless with global availablity. Application publishes to a topic or subscribes to it to pull messages. Can push messages to webhooks.

Question 26

Cloud Dataproc

Answer 26

A fully managed Apache Spark and Hadoop cluster. Lets users create clusters on demand for use when needed. Billed per second and allows movement of on-premesis clusers to Cloud without refactoring code.

Question 27

Cloud Dataflow

Answer 27

A fully managed service for processing data in streams and batches. Based on Apache Beam, it's a severless and limitless capacity service. Manages resources and job balancing for the user. Used for IoT, online fraud anaylsis, healthcare, and logistics.

Question 28

Cloud Dataprep

Answer 28

Can be used to perform data visualization and exploration without coding skills

Question 29

Cloud Datalab

Answer 29

A built in tool on Jupyter (Python) hat allows users to explore, analyze and transform data. Also allows users to build ML data models and leverages compute engine.

Question 30

Cloud Data Studio

Answer 30

A tool that allows you to consume data from sources and visualize it in the form of reports and dashboards.

Question 31

Cloud Composer

Answer 31

A fully managed service based on an open source Apache Airflow, allowing you to create and ochestrate big data pipelines.

Question 32

Cloud ML Engine

Answer 32

ML Engine is a managed service that allows you to train and host your ML models in GCP. It leverages the TensorFlow application for the training process. Underlying infrastructure is by Google, users can choose different hardware options and perform predictions by calling APIs.

Question 33

Pretrained APIs

Answer 33

ML APIs are services that allow you to leverage several pre-trained models, enabling you to analyze a video, pictures, text and speech. These include Google Cloud Video Intelligence, Google Cloud Speech, Google Cloud Vision, Google Cloud Natural Language, and Google Cloud Translation.

Question 34

Auto ML

Answer 34

A service that can be used by developers to train models without having extensive knowledge of data science. Labelled samples include Auto ML translation and Auto ML Natural Language and VIsion.

Question 35

DialogFlow

Answer 35

Service that allows you to build conversation applications that can interact with humans. The interface can interact with many compatible platforms such as Slack or Google Assistant. It can also integrate with Firebase functions for third party platforms using common APIs.

Question 36

Identity and Access Management (IAM)

Answer 36

Allos GCP Admins to control authorization to GCP services. Admins can create roles with granular permissions and then assign them to users.

Question 37

Cloud Identity

Answer 37

An Identity as a Service (IDaaS) offering that sits outside of GCP but can be integrated. Allows creation of groups, users, and organizations that can be managed centrally. You can sync existing catalogs of users to Cloud Identity.