Google Cloud Digital Leader Exam Practice Test

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Total 411 questions
Question 1

Which Google Cloud product or feature makes specific recommendations based on security risks and compliance violations?



Answer : B


Security Command Center is Security and risk management platform for Google Cloud.

Reference link-https://cloud.google.com/security-command-center

Question 2

How does Cloud SQL help organizations create business insights?



Question 3

A company with its own private data center has called you in for help with their disaster recovery planning. News of multiple ransomware attacks has made them very anxious. They want to make they are well prepared for such an eventuality. Which of these would be good recommendations?



Answer : B

Explanation

A single data center is vulnerable. So any option involving that is not good.

Reference Link:- https://www.coresite.com/blog/data-center-redundancy


Question 4

Your company has made plans to roll out OpenShift, a Kubernetes platform solution offered by IBM Red Hat, across all its on-premises and public cloud environments. Given that you are the lead architect responsible for your company's GCP deployments, what type of shared responsibility model will this deployment entail for you?



Answer : D

The key to remember here is that for a service provided (GCP in this case) to take responsibility for its PaaS, it must offer the service as a managed service. GCP offers its own Kubernetes platform called GKE. But OpenShift is not a Google-offered PaaS solution. As such, Google will not take responsibility for the back-end operations and design of your OpenShift environments. You will need to manage all the VMs that OpenShift will provision as part of its GCP deployment.So this is an IaaS deployment from a shared responsibility model perspective.


Question 5

Which scenario uses machine learning to unlock business value from unstructured data?



Answer : D


Question 6

What is the Site Reliability Engineering (SRE) term for an organizations desired level of reliability and performance?



Answer : D

The correct answer is D. Service-level objective. Here's why:

Context of the Questio n : The organization wants to understand the term used in Site Reliability Engineering (SRE) for defining the desired level of reliability and performance.

Google Cloud Product Relevance:

A Service-Level Objective (SLO) is a key term in SRE, representing the target level of reliability or performance for a specific service. SLOs define acceptable levels of service in terms of availability, latency, or other performance metrics. They are used to set clear expectations and help measure whether services meet the desired reliability levels.

SLOs are closely tied to Service-Level Agreements (SLAs) and Service-Level Indicators (SLIs), where SLIs measure specific aspects of service performance, and SLOs set the target levels based on those indicators.

Why Not Other Options:

A . Enhanced support: This is a support option for Google Cloud customers and is not related to SRE concepts.

B . Scalable infrastructure: This refers to cloud infrastructure's ability to scale resources up or down but is not specific to reliability and performance metrics.

C . Service-level indicator: An SLI measures a specific aspect of the service's performance but does not define the target level of performance.

Google Cloud Digital Leader Reference:

Refer to the Site Reliability Engineering (SRE) documentation to learn more about SLOs, SLIs, and SLAs.


Question 7

Cloud SQL is a fully-managed relational database service for MySQL, PostgreSQL and SQL serv-ers, keeping Cloud SQL Google Cloud Service in mind, which of the following statements is/are correct?



Answer : D

Cloud SQL

Fully managed relational database service for MySQL, PostgreSQL, and SQL Server. Run the exact same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.

- Reduce maintenance cost with fully managed MySQL, PostgreSQL and SQL Server databases.

- Ensure business continuity with reliable and secure services backed by 24/7 SRE team.

- Automate database provisioning, storage capacity management, and other time-consuming tasks.

- Database observability made easy for developers with Cloud SQL Insights.

- Easy integration with existing apps and Google Cloud services like GKE and BigQuery.

Key features:

Fully managed

Cloud SQL automatically ensures your databases arereliable, secure, and scalableso that your business continues to run without disruption. Cloud SQL automates all your backups, replication, encryption patches, and capacity increases---while ensuring greater than 99.95% availability, anywhere in the world.

Integrated

Access Cloud SQL instances from just about any application. Easily connect from App Engine, Compute Engine, Google Kubernetes Engine, and your workstation. Open up analytics possibilities by using BigQuery to directly query your Cloud SQL databases.

Reliable

Easily configure replication and backups to protect your data. Go further by enabling automatic failover to make your database highly available.Your data is automatically encrypted, and Cloud SQL is SSAE 16, ISO 27001, and PCI DSS compliant and supports HIPAA compliance.

Easy migrations to Cloud SQL

Database Migration Service (DMS) makes it easy to migrate your production databases to Cloud SQL with minimal downtime. This serverless offering eliminates the manual hassle of provisioning, managing, and monitoring migration-specific resources. DMS leverages the native replication capabilities ofMySQLandPostgreSQLto maximize the fidelity and reliability of your migration. And it's available at no additional charge for native like-to-like migrations to Cloud SQL.


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Total 411 questions