Cloud Digital Leader Fundamental cloud concepts Practice Test 5 — 15 Questions

Question 1

Drag and drop the steps to set up a Cloud Storage bucket with uniform bucket-level access into the correct order.

Question 2

Drag and drop the steps to migrate an on-premises MySQL database to Cloud SQL using Database Migration Service into the correct order.

Question 3

Match each Google Cloud networking concept to its description.

Question 4

Match each Google Cloud pricing concept to its definition.

Question 5

A startup is building a web application and wants to avoid managing servers or operating systems. They need to deploy code quickly and scale automatically. Which cloud service model best meets these requirements?

Accepted Answer

Platform as a Service (PaaS). Platform as a Service (PaaS) is the correct choice because it abstracts the underlying infrastructure (servers, OS, storage) while providing a managed platform for deploying and scaling web applications. The startup can focus on writing code and pushing updates without managing operating systems or servers, and PaaS platforms like Google App Engine or AWS Elastic Beanstalk offer automatic scaling based on demand.

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Function as a Service (FaaS)

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Software as a Service (SaaS)

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Infrastructure as a Service (IaaS)

Question 6

A retail company experiences heavy traffic during holiday sales and low traffic at other times. Which cloud computing characteristic is most beneficial for handling this variable workload?

Accepted Answer

Elasticity. Option A is correct because elasticity allows resources to scale up and down automatically based on demand. Option B is wrong because pay-as-you-go is a pricing model, not a scaling characteristic. Option C is wrong because high availability focuses on uptime, not scaling. Option D is wrong because broad network access is about accessibility via the internet.

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Broad network access

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High availability

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Pay-as-you-go pricing

Question 7

A company migrates its on-premises database to Cloud SQL. The security team is concerned about who is responsible for patching the underlying operating system and database engine. Under the shared responsibility model, which of the following is true?

Accepted Answer

Google Cloud is responsible for patching the operating system and database engine.. Under the Google Cloud shared responsibility model, Google Cloud manages the underlying infrastructure, including patching the operating system and database engine for managed services like Cloud SQL. This is because Cloud SQL is a fully managed service where Google Cloud handles OS and database engine updates, ensuring security and compliance without customer intervention. The customer remains responsible for data, access management, and application-level configurations.

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The customer must patch the operating system of the Cloud SQL instances.

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The customer is responsible for physical security of the data centers.

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The customer is responsible for applying database engine patches.

Question 8

A company plans to run a batch processing job every night for 2 hours. They want to minimize costs while ensuring the job completes within a 4-hour window. Which pricing model should they choose?

Accepted Answer

Preemptible VM instances. Preemptible VM instances (B) are ideal for fault-tolerant, short-lived batch jobs that can handle interruptions. They offer significantly lower cost than on-demand instances, and because the job runs for only 2 hours within a 4-hour window, it can be restarted if preempted, ensuring completion at minimal expense.

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On-demand pricing

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Committed use discounts

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Sustained use discounts

Question 9

A small business wants to host a low-traffic website with a single-page application. They have limited budget and no IT staff. Which Google Cloud solution is most cost-effective and easy to manage?

Accepted Answer

Host the static files on Cloud Storage and use Cloud CDN. Option C is correct because hosting static files (HTML, CSS, JS) on Cloud Storage with Cloud CDN provides a serverless, highly scalable, and low-cost solution for a low-traffic single-page application. Cloud Storage serves static content directly without provisioning any virtual machines, and Cloud CDN caches content at edge locations to reduce latency and egress costs. This eliminates the need for any server management, making it ideal for a business with no IT staff.

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Use App Engine Standard Environment

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Deploy a virtual machine on Compute Engine with a web server

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Set up Google Kubernetes Engine cluster

Question 10

A global enterprise must store customer data in specific geographic regions to comply with data residency laws. They also need to be able to analyze data across all regions without centralizing it. Which approach best balances compliance and analytics?

Accepted Answer

Use regional Cloud Storage buckets per region and BigQuery with federated queries.. Option C is correct because a multi-region deployment with BigQuery's federated queries allows querying data across regions without moving it. Option A is wrong because storing all data in a single region violates residency laws. Option B is wrong because using VMs in each region requires managing infrastructure and does not inherently provide cross-region analytics. Option D is wrong because Cloud Storage's multi-region bucket stores data in multiple regions, which may violate data residency if data is replicated outside the required region.

Answer

Deploy identical Compute Engine instances with databases in each region.

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Store all data in a single region and use Cloud CDN for fast access.

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Use a single Cloud Storage multi-region bucket with granular access controls.

Question 11

A company runs a critical application on Compute Engine in us-central1. They plan to create a disaster recovery (DR) site in us-west1 that can be activated within minutes if the primary region fails. What is the most cost-effective DR strategy that meets the recovery time objective (RTO) of 30 minutes?

Accepted Answer

Warm standby in us-west1 with preemptible VMs and persistent disk snapshots.. Option B is correct because a warm standby using preemptible VMs and persistent disk snapshots provides a cost-effective DR solution that can be activated within minutes. Preemptible VMs are significantly cheaper than regular VMs, and persistent disk snapshots stored in Cloud Storage can be restored quickly to create new disks in us-west1, meeting the 30-minute RTO without the high cost of an always-on active-active deployment.

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Cold standby with regular backups to Cloud Storage.

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Active-active deployment in both regions with load balancing.

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Use a managed instance group in us-west1 with replication from the primary.

Question 12

A developer needs to run a custom analysis script on a large dataset once a month. The script runs for about 10 minutes. They want to avoid provisioning servers and only pay for the actual compute time used. Which Google Cloud compute option should they choose?

Accepted Answer

Cloud Functions. Cloud Functions is the correct choice because it is a serverless, event-driven compute service that automatically scales to zero when not in use, charging only for the actual compute time consumed during execution. The 10-minute monthly script fits within Cloud Functions' 9-minute maximum timeout (recently extended to 60 minutes for HTTP-triggered functions in some regions), making it ideal for infrequent, short-lived tasks without provisioning servers.

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App Engine Standard Environment

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Compute Engine preemptible VM

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Google Kubernetes Engine with a single pod

Question 13

A company wants to reduce latency for IoT devices located in remote areas with poor connectivity. They need to preprocess data locally before sending it to the cloud. Which architecture should they use?

Accepted Answer

Use edge computing devices that run Cloud IoT Edge and preprocess data.. Option B is correct because edge computing devices running Cloud IoT Edge allow local preprocessing of data, reducing the volume of data transmitted over poor connectivity links. This architecture minimizes latency by processing data closer to the source, which is critical for IoT devices in remote areas. Cloud IoT Edge extends Google Cloud's data processing capabilities to the edge, enabling real-time insights without constant cloud connectivity.

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Deploy Cloud CDN to cache responses.

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Use Cloud IoT Core with MQTT and process data on the server side.

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Use a VPN to connect devices directly to the cloud.

Question 14

Which TWO of the following are key characteristics of cloud computing as defined by NIST? (Choose 2)

Accepted Answer

Measured service. Measured service is a key characteristic of cloud computing as defined by NIST (SP 800-145). It means that cloud systems automatically control and optimize resource usage by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). This allows both the provider and consumer to monitor, control, and report usage, providing transparency for billing and chargeback.

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Virtualization

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Multi-tenancy

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Serverless computing

Question 15

Which THREE of the following are common benefits of adopting a cloud infrastructure compared to on-premises? (Choose 3)

Accepted Answer

Ability to scale globally in minutes. Option A is correct because cloud infrastructure enables rapid global scaling by provisioning resources across multiple geographic regions within minutes, leveraging automated orchestration and APIs. This is a fundamental advantage over on-premises setups, which require lengthy procurement, shipping, and manual configuration to expand capacity.

Answer

Elimination of all security vulnerabilities

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Complete transfer of security responsibility to the provider