CLOUD-DIGITAL-LEADER Practice Questions

Reference link- https://cloud.google.com/resource-manager/docs/creating-managing-folders

Reference link- https://stackoverflow.com/questions/59460623/how-to-create-a-folder-a-projectunder-it-with-deployment-manager-google-cloud

The correct answer is

B. Use BigQuery ML and create models using SQL. Here's why:

Context of the Questio n : The organization wants to predict property popularity for the upcoming

busy season but does not have a data science team and relies on in-house database administration

skills.

Google Cloud Product Relevance:

BigQuery ML enables data analysts and database administrators to build and run machine learning

models using SQL queries directly within BigQuery. This makes it accessible to users familiar with

SQL, eliminating the need for advanced data science skills.

BigQuery ML is ideal for this organization since it allows them to leverage their existing SQL skills to

build predictive models without the complexity of custom machine learning frameworks or coding in

languages like Python.

Why Not Other Options:

A . Use custom training in Vertex AI with TensorFlow: This requires expertise in TensorFlow and

machine learning, which the organization lacks.

C . Build a model in AutoML using labeled data: AutoML does simplify the ML model-building process

but still requires more knowledge than basic SQL. Also, BigQuery ML allows the use of existing SQL

skills, which is preferred in this scenario.

D . Integrate pre-trained APIs into their application: Pre-trained APIs are suitable for common use

cases like image recognition or natural language processing, not for custom predictions based on

unique data like property popularity.

Google Cloud Digital Leader Reference:

Refer to BigQuery ML documentation for more details on using SQL to create and use ML models.

Folders for a related group of projects are the recommended approach.

-> A flat structure under the organization node is possible on Google Cloud, but it is not

recommended. It becomes tougher to manage.

-> Projects cannot have sub-projects; there can only be resources within Projects.

Reference link-  https://cloud.google.com/resource-manager/docs/cloud-platform-resourcehierarchy

Firebase Hosting- Firebase Hosting provides fast and secure hosting for your web app, static and

dynamic content, and microservices.

Firebase Hosting is production-grade web content hosting for developers. With a single command,

you can quickly deploy web apps and serve both static and dynamic content to a global CDN (content

delivery network). You can also pair Firebase Hosting with Cloud Functions or Cloud Run to build and

host microservices on Firebase.

Key capabilities of Firebase Hosting:

Serve content over a secure connection:- The modern web is secure. Zero-configuration SSL is built

into Firebase Hosting, so content is always delivered securely.

Host static and dynamic content plus microservices:- Firebase Hosting supports all kinds of content

for hosting, from your CSS and HTML files to your Express.js microservices or APIs.

Deliver content fast: Each file that you upload is cached on SSDs at CDN edges around the world and

served as gzip or Brotli. We auto-select the best compression method for your content. No matter

where your users are, the content is delivered fast.

Network requirements for Private Google Access:

- Because Private Google Access is enabled on a per-subnet basis, you must use a VPC

network. Legacy networks are not supported because they don't support subnets.

- Private Google Access does not automatically enable any API. You must separately enable the

Google APIs you need to use via the APIs & services page in the Google Cloud Console.

- If you use the private.googleapis.com or the restricted.googleapis.com domain names, you'll need

to create DNS records to direct traffic to the IP addresses associated with those domains.

- Your network must have appropriate routes for the destination IP ranges used by Google APIs and

services. These routes must use the default internet gateway next hop. If you use

the private.googleapis.com or the restricted.googleapis.com domain names, you only need one

route (per domain). Otherwise, you'll need to create multiple routes.

- Egress firewalls must permit traffic to the IP address ranges used by Google APIs and services. The

implied allow egress firewall rule satisfies this requirement. For other ways to meet the firewall

requirement.

Reference: https://cloud.google.com/blog/products/identity-security/achieving-identity-and-accessgovernance-on-google-cloud

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Logged information

Your Google Cloud projects contain only the audit logs for resources that are directly within the Cloud

project. Other Google Cloud resources, such as folders, organizations, and billing accounts, contain

the audit logs for the entity itself.

Reference link- https://cloud.google.com/storage/docs/audit-logging

Cloud Trace is supposed to be the correct answer. It's an application performance management tool.

It's a Google solution for monitoring application performance. It is a distributed tracing system that

helps developers debug or fix and optimize their code

:

Real-time data ingestion and updates. A simple and universal solution for continually ingesting your

enterprise data into popular cloud-based data warehouses in real time.

https://www.qlik.com/us/cloud-data-migration/cloud-data-warehouse