Google Cloud Digital Leader

Cloud Monitoring

A tool monitoring infrastructure and application health with rich metrics

Cloud Trace

A tracing system collecting latency data from applications

Cloud Identity

A unified platform for IT administrators to manage user devices and apps

Machine Learning (ML)

A subset of artificial intelligence that enables a system to autonomously learn and improve using neural networks and deep learning, without being explicitly programmed, by feeding it large amounts of data.

Vertex AI

A unified platform for training, hosting and managing custom ML models.

Cloud Console

A web-based interface for managing and monitoring cloud apps

Cloud Storage

- A RESTful online file storage web service for storing and accessing data on Google Cloud Platform infrastructure - Object storage service for structured, semi-structured and structured data. - One of several products used in data lake solutions

Ways to interact with BigQuery

1) Cloud Console UI 2) BigQuery command-line tool 3) API w/ client libraries

Cloud Logging

An audit, platform, and application logs management tool

Cloud Functions

An event-driven compute platform for cloud services and apps

What is an example of structured data that a healthcare facility uses?

Blood Pressure History

Cloud cost change from ____ to _____

Capex to Opex

An organization wants full control of their virtual machine infrastructure for a custom home-grown application with a product that autoscales and automatically updates. Which Google Cloud product or solution should the organization use?

Compute Engine

Cloud Natural Language API

Gets insights from unstructured text with machine learning that extracts, analyzes, and stores text

looker

Google Cloud business intelligence solution

Bare Metal

Infrastructure to run specialized workloads on Google Cloud

Zonal Persistent Disks

Provide durable storage and replication of data within a single zone in a region.

Which google cloud service allows you to transfer data, from multiple cloud platform: Amazon S3 to GCP

Storage Transfer Service:

What is seen as a limitation of on-premises infrastructure, when compared to cloud infrastructure?

The on-premises hardware procurement process can take a long time.

Why should an organization consider the total cost of ownership (TCO) when moving from on-premises to the cloud?

To evaluate return on investment

Cost Management

Tools for monitoring, controlling, and optimizing business cost

Multicloud

Usage of two or more public clouds at a time, and possibly multiple private clouds

What is logging within the context of cloud technology?

writing app and operating system events as text

Serverless Computing

- A cloud computing execution model in which the cloud provider allocates machine resources on demand, taking care of the servers on behalf of their customers. - Enables you to build and deploy functions and applications using a fully managed end-to-end serverless platform.

Cloud Run

- A fully managed environment for running containerized apps. - Scales to number of instances based on number of incoming requests

BigQuery

- A highly scalable, and cost-effective cloud data warehouse tool designed in making informed decisions quickly. - Google Cloud's leading data warehouse solution

What are the benefits of cloud computing?

-Scalable -Flexible -Agile -Strategic Value -Secure -Cost Effective

Dataset buckets

-user data: all data from customers who use or purchase your services and products-corporate data: data about your company such as sales patterns and operations-industry data: data found outside of an org that everyone in the sector can access

What are two common business problems that machine learning solves?

1) Automating processes 2) Creating personalized customer experiences

3 characteristics of high quality data

1) Coverage 2) Cleanliness 3) Completeness

Which of the following is an advantage for storing and managing data in the public cloud?

1) Elasticity 2) Speed

Two capabilities that form the basis of a transformation cloud?

1) Open infrastructure gives the freedom to innovate by running applications in the place that makes the most sense. 2) Data cloud provides a unified solution to manage data across the entire data lifecycle.

How is data integrity achieved?

1) Through ongoing error checking and validation routines as data is collected 2) By implementing a set of rules when a database is first designed

Common Google Cloud database services and their benefits

1. CloudSQL: makes it easy for businesses to set up, manage, and maintain databases in the Cloud 2. Cloud Spanner: designed for global scale, data automatically copied across regions and scales out infinitely

How much more powerful are Tensorflow Processing Units (TPUs) than traditional chips?

50 times more powerful

artificial intelligence (AI)

A broad field or term that describes any kind of machine capable of a task that normally requires human intelligence, such as visual perception, speech recognition, decision-making, or translation between languages.

Cloud Spanner

A fully managed Google Cloud database service designed for global scale where data is automatically copied across regions and scales out infinitely

Cloud SQL

A fully managed relational database service for MySQL, PostgreSQL, and SQL Server. Allows its users to take advantage of the computing power of the Google Cloud Platform instead of setting up their own infrastructure.

Apigee API Management

A platform for developing and managing APIs

What is a data lake?

A repository of raw, unstructured data that tends to hold 'back up' data

An organization needs a solution for their data analytics workloads. They need to store, do complex queries, and perform data analysis on large amounts of structured and semi-structured data. Which Google Cloud product would best suit this requirement?

BigQuery

Goal of an organization seeking digital transformation

Break down data silos and generate real time insights.

How does Google Cloud ensure that customer data remains secure and private when at rest?

By auditing platform privacy practices against industry standards

Hybrid Cloud

Computing model where firms use both their own IT infrastructure and also public cloud computing services.

Cloud Profiler

Continuous CPU and heap profiling to improve performance and reduce costs

An organization operates their entire IT infrastructure from Google Cloud. What should they do to prepare for data breaches?

Create an incident plan to mitigate impacts

Structured data

Data that (1) are typically numeric or categorical; (2) can be organized and formatted in a way that is easy for computers to read, organize, and understand; and (3) can be inserted into a database in a seamless fashion.

Unstructured data

Data that does not exist in a fixed location and can include text documents, PDFs, voice messages, emails

How do databases and data warehouses differ? Select the correct answer.

Databases efficiently ingest large amounts of real-time data, while data warehouses rapidly analyze multi-dimensional datasets.

Vision API

Derive insights from your images in the cloud

An organization wants to use BigQuery data analytics to understand its website performance but wants to move only some data into the cloud. Which environment should the organization use?

Hybrid Cloud?

Which technology allows organizations to run multiple computer operating systems on a single piece of physical hardware?

Hypervisor

An organization wants to move from a tactical cloud adoption approach to a transformational approach. How should they adapt the way they lead the organization?

Increase top-down visibility and foster a culture of blamelessness

An organization wants to create a new application in the cloud to replace an existing on-premises application. Which application modernization approach should the organization use?

Invent in Brownfield

Cloud Profiler is used for?

Investigate application performance

An organization has a new application, and user subscriptions are growing faster than on-premises infrastructure can handle. What benefit of the cloud might help them in this situation?

It's scalable, so the organization could shorten their infrastructure deployment time.

What is the benefit of implementing a transformation cloud that is based on open infrastructure?

Open source software reduces the chance of vendor lock-in.

Cloud Adoption Framework

People, Process, Technology

An organization has made significant investments in their own infrastructure and has regulatory requirements for their data to be hosted on-premises. Which cloud implementation would best suit their needs?

Private Cloud

An organization wants to move from a tactical cloud adoption approach to a transformational approach. How should they change their cloud security?

Provide multiple layers of network security using a zero-trust model

Cloud Interconnect

Provides direct physical connections between your on-premises network and Google's network

How should you track total costs for Google Cloud resources?

Set a budget amount and a budget alert threshold to track your Google Cloud spend

An organization notices that some of their cloud expenditures are too high.What should the organization do to control costs?

Share cost views with the departments to establish more accountability

Compute Power

The speed at which a computer is able to process data

Digital Transformation

When an organization takes advantage of new technologies such as cloud to redesign and redefine relationships with their customers, employees, and partners. This change creates new business value and opportunities.

BigQuery pricing

You pay for - Data Storage - Streaming Inserts - Querying Data Storage costs are based on the amount of data stored

Data Lake

a repository designed to store, process, and secure large amounts of structured, semistructured, and unstructured data. It can store data in its native format and process any variety of it, ignoring size limits and serves many purposes, such as exploratory data analysis.

Google Cloud Datastore

- A fully managed, schemaless, non-relational datastore. - Provides a rich set of query capabilities, supports atomic transactions, and automatically scales up and down in response to load. - Can scale to support an application with 1,000 users or 10 million users with no code changes.

Cloud Debugger

- A real-time application state inspection and in-production debugging tool. - Solves the problem of isolating issues that occur only in production. - Lets you inspect the state of a Java or Go application at any code location without stopping or slowing it down.

virtual machine (VM)

- A virtualized instance of a server that re-creates the functionality of a dedicated physical server. - Uses a partitioned space inside a physical server which makes it easy to optimize and reallocate resources and allow multiple systems to run on the same hardware.

GKE

- An open-source container orchestration system for automating computer application deployment, scaling, and management - Provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure. - Consists of multiple machines (specifically, Compute Engine instances) grouped together to form a cluster.

Difference between BigQuery and Cloud SQL

- Cloud SQL is a database service - BigQuery is a data warehousing service designed for large-scale data analysis - NOT a database service - Cloud SQL has more database security options than BigQuery - The storage space in Cloud SQL depends on the data warehouse being used, while that of BigQuery is equivalent to that of Google cloud storage

Cloud Spanner vs Cloud SQL

- Cloud Spanner allows you to scale your databases depending upon the needs of your business - While Cloud SQL is built specifically for MySQL, Cloud Spanner can be used for any SQL database.

Cloud Storage Use Cases

- Hosting a static website - Transferring data from Amazon S3 to Cloud Storage using VPC Service Controls and Storage Transfer Service - Architecting disaster recovery for locality-restricted workloads

What are 2 ways to generate insights from data?

- ML - AI

Containers

- Provides an isolated environment to run software services and optimize resources from one piece of hardware. - Containers are more efficient than VMs because they do not recreate a full representation of the hardware, but only recreate or virtualize the operating system.

Regional Persistent Disks

- Provides synchronous replication of data between two zones in a region. - Files are accessible only within a region

Data Warehouse

- The central hub for all business data, it assembles data from multiple sources, including databases. - With connectors, can transform unstructured data into semi-structured data that can be used for analysis - rapidly analyze and report massive and multi-dimensional datasets on an ongoing basis, in real-time.

Difference between AutoML Vision and Vision API

- Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. - Vision API includes suite of image and video OCR tools - AutoML Vision automates the training of custom machine learning models - Auto ML Vision is a Machine Learning-focused tool that can be used for a variety of things.

5 Primary capabilities that form basis of Transformational Cloud

1. Data 2. Open infrastructure 3. Collaboration 4. Trust 5. Sustainable Technology

What are the different ways organizations can implement IT structure?

1. on-prem 2. private cloud 3. public cloud 4. hybrid cloud 5. multi cloud

Google Cloud Dataproc

A service for distributed data processing. It provides management, integration, and development tools for unlocking the power of rich open source data processing tools.

TensorFlow

An end-to-end open source platform for machine learning originally created by Google

Total Cost of Ownership (TCO)

Analysis that weights cost of cloud adoption against cost of running current on-prem costs

What Hybrid and Multi-Cloud service can develop, secure, deploy, and monitor your APIs everywhere?

Apigee API Management

An organization wants to ensure they have redundancy of their resources so their application remains available in the event of a disaster. How can they ensure this happens?

By putting resources in different zones.

Streaming Analytics

The processing and analyzing of data records continuously rather than in batches.

How can Looker enable organizations to better serve their customers?

They can use it to create real-time dashboards

An organization has shifted from a CapEx to OpEx based spending model. Which of these statements is true?

They will only pay for what they use.

Google Compute Engine (GCE)

Virtual machines running in Google's data center

Private Cloud

When an organization has virtualized servers in its own data centers to create its own private on-premises environment.