GCP Acronym Flashcards

1
Q

DR

A

Disaster Recovery
- Use cloud/on-prem as DR environment
- Have a backup network connection between the cloud and on-prem

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2
Q

RTO

A

Recovery Time Objective - Maximum acceptable downtime
time to recover from an incident

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3
Q

RPO

A

Recovery Point Objective - Maximum acceptable period of data lost
point from which to recover from an incident

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4
Q

Services using TensorFlow.
Create a data mart to enable the processing of large volumes of data

A

BigQuery + AI Platform
Consider BigQuery ML for realtime predictions

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5
Q

Move to serve real-time and recorded content closer to their users

A

Cloud Storage, Cloud CDN

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6
Q

Expose the predictive models to partners

A

Apigee

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7
Q

Create real-time analytics of viewer consumption patterns and engagement

A

Cloud Pub/Sub > Cloud Dataflow > Cloud BigQuery

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8
Q

Increase transcoding performance.
Beta - process from /to Cloud Storage

A

Transcoder API

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9
Q

Real-time streaming analysis for live media
AIStreamer ingestion library allows you to connect to API Supports File Streaming, HTTP Live Streaming (HLS), Real-Time Streaming Protocol (RTSP), Real-Time Messaging Protocol (RTMP)

A

Video Intelligence API
Streaming API

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10
Q

Run Kubernetes clusters anywhere (cloud and on-premises)
Config Mgmt - Central policies - Kubernetes API, Service Mesh, Access control
Service Mesh (dashboards, logging, monitoring, distributed tracing)
CI/CD - Watch for updates in the Git repository and applies changes to all relevant clusters automatically

A

Anthos

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11
Q

Make predictions and generate reports on industry trends

A

BigQuery
Batch: Cloud Storage > Dataflow > (BigQuery, …)
Stream: Cloud Pub/Sub > Dataflow > (BigQuery, …)

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12
Q

Log Retention

A

Cloud Logging > (Cloud Storage, BigQuery)

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13
Q

Alerting Policies for Notifications

A

Cloud Logging, Cloud Monitoring

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14
Q

Secure and high-performance connection

A

Cloud Dedicated Interconnect

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15
Q

Reduce latency

A

Cloud CDN

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16
Q

For single sign-on
Google Cloud Direct Sync (synchronize users and groups from Active Directory to Cloud Identity)

A

Active Directory Federation Services (AD FS)

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17
Q

MySQL, MS SQL Server

A

Cloud SQL

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18
Q

Redi

A

Memorystore

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19
Q

MongoDB

A

Deploy using Cloud Marketplace or Use Dataastore

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20
Q

IAM

A

Identity and Access Management

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21
Q

Deliver seamless multiplayer gaming experiences

A

Game Servers (Agones + Kubernetes)

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22
Q

Real-time global leaderboard

A

Memorystore - Redis

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23
Q

Enable advanced analytics capabilities

A

Batch - Cloud Storage > Dataflow > BigQuery
Stream - Pub/Sub > Dataflow > BigQuery

24
Q

CI/CD

A

Cloud Build, Spinnaker and/or Jenkins

25
Q

Match history database with regional in-memory caching

A

Cloud Spanner + Memorystore

26
Q

Cloud Bigtable

A

Time series events

27
Q

Cloud Firestore

A

Player database (documented db)

28
Q

Data warehouse and intelligence

A

Cloud BigQuery, AI Platform

29
Q

CIDR

A

Classless Inter-Domain Routing - Blocks

30
Q

VPC

A

Virtual Private Cloud

31
Q

SRE

A

Site Reliability Engineering (SRE) - Key Metrics

32
Q

SLI

A

Service Level Indicator (SLI): Quantitative measure of an aspect of a service
- Categories: availability, latency, throughput, durability, correctness (error rate)
- Typically aggregated - “Over 1 minute”

33
Q

SLO

A

Service Level Objective (SLO) - SLI + target
- 99.99% Availability, 99.999999999 Durability
- Response time: 99th percentile - 1 second
- Choosing an appropriate SLO is complex

34
Q

SLA

A

Service Level Agreement (SLA): SLO + consequences (contract)
- What is the consequence of NOT meeting an SLO? (Defined in a contract)
- Have stricter internal SLOs than external SLAs

35
Q

TCO

A

Total Cost of Ownership (TCO)
- Licensing Cost (Sofware and Hardware)
- Computing Cost
- Storage Cost
- Networking Cost (Connection cost + Data Ingress + Data Egress)
- Personal Costs (Dev + Test + Opt + Business + ..)
- Other Cost
- Penalties for missed SLAs or Compliance needs
- Third-Party APIs

36
Q

KPIs

A

Key Performace Indicator
- How is the business doing with respect to an objective?
- Project KPIs
- Number of new customers in a week
- Percentage of virtual machines running in the cloud
- Operational KPIs
- Operational cost per customer

37
Q

Non-Functional - Availability

A

People expect systems to be highly available with little downtime. The measure that is generally used to specify availability is the “nines” notation, which quantifies uptime over a particular period, generally per month or per year.

38
Q

Non-Functional - Scalability

A

Scalability is the ability for the system to scale to meet increasing demands; for example, at peak times or as the system becomes more widely adopted.

39
Q

Non-Functional - Durability

A

how well your data is protected from loss or corruption - is a critical feature of any data storage service. We often receive questions about how to design workloads for durability and what specific durability assumptions a workload can make about Persistent Disk, Google Cloud’s reliable, high-performance block storage for Compute Engine virtual machine instances.

40
Q

Non-Functional - Security

A

Security is a one of the most important considerations for all systems. With the increasing volume of cyberattacks, it is becoming more significant. Security is an enormous topic and encompasses a multitude of diverse factors, including intrusion prevention and detection, authentication, authorization, and confidentiality. Consider security early in the project lifecycle.

41
Q

Non-Functional - Resilience

A

Ensuring that a system can meet its availability targets involves designing it so that it is resilient. Resilience, which is sometimes known as fault tolerance, means that the system can continue to operate when faults occur.

42
Q

Non-Functional - Performance

A

Performance is the ability of the system to always run acceptably. In mission-critical systems, even the smallest delay in processing data can be unacceptable.

43
Q

Service Serverless

A

Cloud Storage, App Engine, Cloud Functions
Pub/Sub, BigQuery, Cloud Datastore

44
Q

Services NOT Serverless

A

BigTable, Cloud Spanner - You need to choose the number of nodes in the cluster
Cloud SQL, Dataproc - Make use of compute engine VM

45
Q

Planning for Security

A

Confidentiality - Only the right people have the right access
Integrity - Protect data from unauthorized change
Availability - System/Data is/are available when users need them

46
Q

DDoS Attack

A

Denial of Service Attacsk - Attempting to bring your apps down with large scale attacks

47
Q

OWASP

A

Open Web Application Security Project - It has a list of the top 10 attacks, so this information can be used to protect your apps

48
Q

BCP

A

Business Continuity Planning = Disaster Recovery Plan (Restore critical IT applications and systems) + Business recovery (Restore critical business processes)
ex: Outsourcing, Temporary Office Space

49
Q

Incident

A

An unplanned event that causes a service disruption

50
Q

Cloud Filestore

A

Cloud Filestore is a scalable and highly available shared file service fully managed by Google. Cloud Filestore provides persistent storage ideal for shared workloads. It is best suited for enterprise applications requiring persistent, durable, shared storage which is accessed by NFS or requires a POSIX compliant file system.

51
Q

OLTP, OLAP and NoSQL

A

OLTP -> Cloud Spanner, Cloud SQL

OLAP -> BigQuery

NoSQL -> Firestore/Datastore, BigTable

52
Q

Bigtable

A

Bigtable is suitable for IoT sensor data and it has low latency which will provide the performance for weather app.

53
Q

TTL

A

Time to live

54
Q

Interconnect capacity

A

For Dedicated Interconnect, connection capacity is delivered over one or more 10-Gbps or 100-Gbps Ethernet connections, with the following maximum capacities supported per Interconnect connection:

8 x 10-Gbps connections (80 Gbps total)

2 x 100-Gbps connections (200 Gbps total)

55
Q

GCDS

A

Google Cloud Directory Sync