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GCP > Reliability > Flashcards

Reliability Flashcards

1
Q

Throttling

A

Responding to excessive API requests by dropping requests until rate falls below limit

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2
Q

3 parts of JSON Web Token (JWT)

A

Header

  • Identifies token is a JWT
  • Algorithm used to sign sign token

Payload
- Set of claims about issuer, subject, token

Signature

  • Output of signature algorithm
  • Shows signer knows secret and JWT token not altered
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3
Q

Storage Transfer Service

A

From HTTP/S, S3, Cloud Storage
To Cloud Storage
Transfer jobs run in GCP

*recommended for importing from other CSPs

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4
Q

Google Transfer Appliance

A

40TB
300TB
Cloud Storage

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5
Q

Time to transfer:

1 TB over 1 Gbps

A

3 hours

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6
Q

Time to transfer:

1 PB over 100 Gbps network

A

30 hours

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7
Q

Max volume and bandwidth for gsutil to transfer data

A

< 10 TB

At least 100 Mbps bandwidth

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8
Q

Data volume - when to use Transfer Appliance

A

> 20 TB

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9
Q

SLO

A

Agreed upon target for a measurable attribute of a service specified in a SLA

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10
Q

SLI

A

Metric that reflects how well a SLO is being met

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11
Q

Cloud Functions

A

Serverless service for running functions

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12
Q

Cloud Run

A

Serverless service for running stateless containers
Available as managed service or within Anthos

*Process up to 80 concurrent requests by default - up to 1,000

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13
Q

Compute Engine Machine Families (4)

  1. Optimized
  2. Key attribute
A

General purpose - best price performance
Compute Optimized - best performance per core
Memory Optimized - best memory per core (up to 12 TB)
Accelerator/GPU Optimized - parallel processing

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14
Q

Compute Engine persistent disk types (5)

*Strength

A

Standard persistent - efficient and reliable
Balanced persistent - fast, but cost effective (same IOPs as SSD persistent, but less per GB)
SSD persistent - single digit ms latency
Extreme persistent - for HPC in-memory databases, configurable IOPs
Local SSDs - Hot cache, flash optimized, low latency - higher higher throughput and lower latency than standard SSD

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15
Q

Instance Group Types

A

Managed

Unmanaged

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16
Q

Instance Template

  • Definition
  • What it contains
A

Used to create VM instances and MIGs

Machine Type
Boot disk or container image
Network settings
Labels
Startup scripts
Other properties of VM
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17
Q

Cloud Functions events (5)

A 
Cloud Storage
Pub/Sub
HTTP calls
Firestore - document create, update, delete, write
Cloud Logging
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18
Q 
Cloud SQL
Type
Replication
Failover
Max size
Scaling
A

MySQL, SQL Server, PostegreSQL

Read replica in same or different region

Google managed failover (primary to replica)

30 TB

Vertical scaling only - can enable auto scaling storage

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19
Q

Database Migration Service

A

Continuous replication for MySQL and PostgreSQL to Cloud SQL

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20
Q 
Cloud Spanner
Type
Use Case
Availability
Query language
Consistency
Regions
Scaling
A

Relational database for horizontal, global scaling

Apps that need strong consistency and global scale - Financial trading systems, logistics apps, global inventory tracking

99.999% availability

SQL and Google SQL

External consistency

Regional (3 copies in multiple zones)
Multi-region (3 copies in other regions)

Auto backup and replication

Auto sharding; increase CPU and RAM of instances to scale up

21
Q 
Bigtable
Type
Integration
Use Cases
Query language
Locations
Replications and failover
Scaling
A

NoSQL, wide-column, PB scale, low latency

Apache HBase interface

Storing data for ML building
Streaming IoT data
Time series, marketing, financial, graph data

cbt

Data auto replicated between clusters

Scale clusters by adding nodes (tables are highly scalable)

22
Q

Firestore
Type
Transactions

A

NoSQL, Document database for mobile, web, IoT apps

Supports ACID compliant transactions

23
Q

Memorystore

A

Managed service for Redis and Memcached

24
Q

Which IaaS can access Memorystore

A

Compute Engine
GKE
Cloud Functions
App Engine (requires Serverless VPC Access)

25
Q

Firestore modes (2)

A

Datastore Mode - new server-based projects

Firestore Mode (native) - new web or mobile apps

26
Q

Databases with time partitioned tables

A

BigQuery

Bigtable

27
Q

Storage/database services that distribute data globally

A

Cloud Storage
Cloud Spanner
Cloud Firestore

28
Q

VPC private IP ranges

A
  1. 0.0.0/8
  2. 0.0.0 - 10.255.255.255
  3. 16.0.0/12
  4. 16.0.0 - 172.31.255.255
  5. 168.0.0/16
  6. 168.255.255
29
Q

BQ data batch loading options (4)

A

Load Jobs from Cloud Storage or local filesystems

BQ Data Transfer Service - loading from Google Ads, Ad Managers, Google Saas apps, 3rd party services

BQ Storage Write API

Firestore export

30
Q

BQ data streaming options (2)

A

BQ Storage Write API

Dataflow job to write directly to BQ tables

31
Q

BQ analysis pricing models (2) + free usage

A
  • 1st TB free per month

On-demand - number of bytes processed each query

Flat rate (purchase slots/vCPU to run queries):

  • Flex slots - commit to initial 60 sec
  • Monthly - commit to initial 30 days
  • Annual - commit to 365 days
32
Q

BQ storage pricing models (2)

A

*First 10 GB free per month

Active storage
- table or table partitions modified in last 90 days

Long term storage
- table or table partition NOT modified for 90 consecutive days

33
Q

Transfer Service for On-Premises Data

A

For moving billions of files and 100s of TB in single transfer

Agent based

34
Q

Google Transfer Appliance (size options) (2)

A

40 TB or 300 TB

35
Q

Cloud Logging export options (3)

  • Where
  • Format
A

Cloud Storage - JSON files

BQ - log tables

Pub/Sub - JSON messages

36
Q

Use gsutil to transfer if less than __ TB and at least ___ bandwidth

A

10 TB

100 Mbps

37
Q

Use Transfer Appliance if > than __

38
Q

Workloads for GCP orchestration services (3)

A

Cloud Scheduler - schedule driven, single service

Workflows - Complex, microservices

Cloud Composer - data, ETL workloads

39
Q

Helm

A

Package manager to configure and deploy K8 apps

40
Q

GCP storage for ML learning data and artifacts

A

Cloud Storage

BQ

41
Q

Cloud DLP classifies data in (3)

A

Cloud Storage
BQ
Datastore

42
Q

Container Analysis

A

Auto scans container images in Artifact Registry and Container Registry for known vulnerabilities
Continuously analysis metadata for new vulnerabilities

43
Q

Video Intelligence API

A

Annotate videos stored locally or in Cloud Storage, or live streamed with contextual info at per video, per segment, per shot, per frame levels

44
Q

Recommended org wide quotas (3)

A

APIs per second
VMs created
Data queried per day in BQ

45
Q

Recommendation Hub

A

UI that shows summary of all available recommendations in a project

46
Q

Active Assist

A

Suite of tools to generate insights and recommendations to optimize cloud projects

47
Q

Requester Pays

A

Storage configuration to bill department or team who requests data versus owner

48
Q

Services with Committed Use Discounts. (spend based commitment) (5)

A 
Cloud SQL
Cloud Spanner
Google Cloud VMWare Engine
Cloud Run
GKE

GCP (8 decks)

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