Google Cloud Certified - Professional Cloud Architect Exam Dumps & Questions 2025
Google Cloud Certified - Professional Cloud Architect Exam Dumps & Questions 2025
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Question 1:
Scenario:
You are working with a healthcare startup that is developing a critical patient management application in Google Cloud. The application relies on a database backend to store patient records, appointments, and medical history. Uptime and data availability are paramount, as any downtime or data loss could have severe consequences for patient care.
Question:
In the context of the healthcare startup‘s patient management application, which approach should you recommend to ensure high availability and data reliability for the Cloud SQL database?
A. Configure a single-zone Cloud SQL instance to reduce costs and complexity while ensuring regular backups.
B. Implement a multi-region replication setup for the Cloud SQL database, allowing for automatic failover and data redundancy.
C. Use Cloud Storage to periodically back up the Cloud SQL database, providing manual recovery options in case of data loss.
D. Leverage Stackdriver Monitoring to alert the operations team in case of database downtime, ensuring rapid response and recovery.
Answer: B
Explanation:
Correct Option:
B. Implement a multi-region replication setup for the Cloud SQL database, allowing for automatic failover and data redundancy.
Explanation:
In the context of the healthcare startup‘s patient management application, the recommended approach to ensure high availability and data reliability for the Cloud SQL database is Option B. Here‘s why this is the best choice:
Multi-Region Replication: Setting up a multi-region replication for the Cloud SQL database ensures that the data is redundantly stored in multiple geographic regions. This provides automatic failover in case of a regional outage, ensuring high availability.
Automatic Failover: With multi-region replication, automatic failover is built into the setup. If the primary region experiences downtime, the system can seamlessly switch to a secondary region, minimizing disruption.
Why Other Options Are Incorrect:
A. Configure a single-zone Cloud SQL instance to reduce costs and complexity while ensuring regular backups:
While single-zone instances may reduce costs, they do not provide the high availability required for a critical patient management application.
C. Use Cloud Storage to periodically back up the Cloud SQL database, providing manual recovery options in case of data loss:
Periodic backups are valuable for data recovery but do not address the need for high availability. Manual recovery is slower and less reliable than automatic failover.
D. Leverage Stackdriver Monitoring to alert the operations team in case of database downtime, ensuring rapid response and recovery:
Monitoring and alerting are important for proactive management, but they do not guarantee high availability or data redundancy, which is critical in this healthcare application.
In summary, Option B, implementing a multi-region replication setup for the Cloud SQL database, is the best approach to ensure high availability and data reliability for the healthcare startup‘s patient management application. It provides the necessary redundancy and failover capabilities to minimize downtime and data loss.
Question 2:
Scenario:
You are a GCP architect responsible for designing the infrastructure and services for an e-commerce platform that processes payment transactions. Your client‘s e-commerce website collects and stores sensitive customer payment card data, and compliance with the Payment Card Industry Data Security Standard (PCI DSS) is a critical requirement to ensure the security of this data. You need to recommend a solution that helps the client achieve PCI DSS compliance while using Google Cloud Platform (GCP).
Question:
In the context of achieving PCI DSS compliance for the e-commerce platform on GCP, which set of best practices and services should you recommend?
A. Utilize Google Cloud Identity-Aware Proxy (IAP) for securing access to the e-commerce platform, and encrypt payment card data at rest using Google Cloud Key Management Service (KMS).
B. Implement Google Cloud Data Loss Prevention (DLP) to scan and mask sensitive payment card data, and use Google Cloud Security Command Center for monitoring and compliance assessment.
C. Leverage Google Cloud Shielded VMs to protect against malware and rootkit attacks, and use Google Cloud Security Scanner to identify vulnerabilities in the e-commerce website.
D. Utilize Google Cloud VPN to establish a secure connection to the e-commerce platform, and employ Google Cloud Identity and Access Management (IAM) for role-based access control to payment card data.
Answer: A
Explanation:
Correct Option:
A. Utilize Google Cloud Identity-Aware Proxy (IAP) for securing access to the e-commerce platform, and encrypt payment card data at rest using Google Cloud Key Management Service (KMS).
Explanation:
In the context of achieving PCI DSS compliance for the e-commerce platform on Google Cloud Platform (GCP), the recommended set of best practices and services includes:
Google Cloud Identity-Aware Proxy (IAP): IAP provides secure and fine-grained access control for web applications. It helps ensure that only authorized users can access the e-commerce platform. This is crucial for PCI DSS compliance, as it helps protect against unauthorized access to payment card data.
Google Cloud Key Management Service (KMS): KMS enables encryption at rest, which is a fundamental requirement for PCI DSS compliance. It ensures that payment card data is securely stored and protected, even in the event of physical theft or data breaches.
Why Other Options Are Incorrect:
B. Implement Google Cloud Data Loss Prevention (DLP) to scan and mask sensitive payment card data, and use Google Cloud Security Command Center for monitoring and compliance assessment:
While Google Cloud DLP and Security Command Center are valuable for data protection and compliance monitoring, they are not sufficient to address the primary requirements of securing access and encrypting data at rest, as mandated by PCI DSS.
C. Leverage Google Cloud Shielded VMs to protect against malware and rootkit attacks, and use Google Cloud Security Scanner to identify vulnerabilities in the e-commerce website:
Shielded VMs and Security Scanner are essential for security but focus on different aspects of security, such as protection against malware and vulnerability scanning. While they contribute to overall security, they do not directly address PCI DSS compliance requirements.
D. Utilize Google Cloud VPN to establish a secure connection to the e-commerce platform, and employ Google Cloud Identity and Access Management (IAM) for role-based access control to payment card data:
Google Cloud VPN and IAM are crucial components of securing the environment. However, the PCI DSS requirements are more specific, emphasizing secure access control and encryption at rest as primary requirements.
In summary, option A, which includes using Google Cloud Identity-Aware Proxy (IAP) for access control and encrypting payment card data at rest using Google Cloud Key Management Service (KMS), is the most suitable choice for achieving PCI DSS compliance for the e-commerce platform on GCP. These practices directly address the key security and compliance requirements for handling sensitive payment card data.
Question 3:
Scenario:
You are a GCP architect tasked with designing the infrastructure for a large enterprise that hosts a variety of applications, including a customer-facing web portal, internal corporate services, and a data analytics platform. Security is a top priority for this organization, and they want to implement a robust security strategy on Google Cloud Platform (GCP). You need to recommend a solution that enhances security by isolating and segmenting the network effectively.
Question:
In the context of enhancing security and isolating network resources on GCP, which architectural practice or solution should you recommend?
A. Implement Google Cloud Armor to protect against DDoS attacks and web application threats.
B. Use Google Cloud Identity-Aware Proxy (IAP) for secure access control to applications.
C. Establish network segmentation by deploying separate Virtual Private Cloud (VPC) networks for different application types and environments.
D. Utilize Google Cloud Security Command Center for real-time security monitoring and threat detection.
Answer: C
Explanation:
Correct Option:
C. Establish network segmentation by deploying separate Virtual Private Cloud (VPC) networks for different application types and environments.
Explanation:
In the context of enhancing security and isolating network resources on Google Cloud Platform (GCP), the recommended architectural practice is to establish network segmentation. Here‘s why this is the best choice:
Network Segmentation: Network segmentation involves creating separate VPC networks for different application types and environments. This approach enforces logical isolation between components, making it more challenging for threats or breaches in one area to propagate to others. It enhances security by reducing the attack surface and simplifying access control.
Why Other Options Are Incorrect:
A. Implement Google Cloud Armor to protect against DDoS attacks and web application threats:
Google Cloud Armor is valuable for protecting against DDoS attacks and web application threats but does not address the need for network segmentation and logical isolation.
B. Use Google Cloud Identity-Aware Proxy (IAP) for secure access control to applications:
IAP is essential for secure access control, but it focuses on access rather than network segmentation. While it enhances security, it doesn‘t isolate network resources.
D. Utilize Google Cloud Security Command Center for real-time security monitoring and threat detection:
Security Command Center is vital for security monitoring and threat detection but doesn‘t directly address network segmentation. It‘s more focused on monitoring and responding to security events.
In summary, option C, establishing network segmentation by deploying separate VPC networks for different application types and environments, is the most suitable architectural practice for enhancing security and effectively isolating network resources on GCP. It provides a strong foundation for security by reducing the attack surface and facilitating secure access control within each network segment.
Question 4:
Scenario:
You are a GCP architect working with a large organization that has multiple departments, each with its own set of Google Cloud resources and projects. The organization is looking to optimize network connectivity and security while streamlining resource management. They want to implement a solution that allows different departments to share common network resources and services, such as a central VPC (Virtual Private Cloud), without compromising security. You need to recommend a solution that best meets these requirements.
Question:
In the context of optimizing network connectivity, security, and resource management for an organization with multiple departments on Google Cloud Platform (GCP), which architectural practice or solution should you recommend?
A. Implement dedicated VPCs for each department, ensuring strict isolation and network-level security.
B. Use Google Cloud Identity-Aware Proxy (IAP) to control access to department-specific resources, enhancing access security.
C. Establish network peering between department-specific VPCs to facilitate resource sharing and data exchange.
D. Utilize Google Cloud Shared VPC to allow different departments to share a central VPC, providing network connectivity and resource management while maintaining security.
Answer: D
Explanation:
Correct Option:
D. Utilize Google Cloud Shared VPC to allow different departments to share a central VPC, providing network connectivity and resource management while maintaining security.
Explanation:
In the context of optimizing network connectivity, security, and resource management for an organization with multiple departments on Google Cloud Platform (GCP), the recommended architectural practice is to utilize Google Cloud Shared VPC. Here‘s why this is the best choice:
Google Cloud Shared VPC: Shared VPC enables different departments or projects to share a common central VPC while maintaining network-level isolation and security. It allows for streamlined resource management, better network connectivity, and efficient administration without compromising security. Shared VPC provides a way to centralize network management and security policies while still allowing each department to have its own project-level control.
Why Other Options Are Incorrect:
A. Implement dedicated VPCs for each department, ensuring strict isolation and network-level security:
While dedicated VPCs can provide strict isolation, they may lead to resource duplication and increased administrative overhead. They do not facilitate efficient resource sharing and central management.
B. Use Google Cloud Identity-Aware Proxy (IAP) to control access to department-specific resources, enhancing access security:
Google Cloud IAP is valuable for access control but does not directly address the challenges of network connectivity, resource sharing, and efficient resource management across multiple departments.
C. Establish network peering between department-specific VPCs to facilitate resource sharing and data exchange:
Network peering between VPCs is a useful feature, but it may not provide the level of centralized control and resource management that Shared VPC offers. It may also be less efficient in managing security policies across multiple VPCs.
In summary, option D, utilizing Google Cloud Shared VPC to allow different departments to share a central VPC, is the most suitable architectural practice for optimizing network connectivity, security, and resource management in a multi-departmental organization on GCP. It provides the necessary balance between centralization and department-specific control while maintaining security and efficiency.
Question 5:
Scenario:
You are a GCP architect working with a media company that stores a vast amount of multimedia content in Google Cloud Storage. The company has various departments, including marketing, creative, and production, each with its own set of users who need access to specific content within Google Cloud Storage. It‘s crucial to implement a solution that allows fine-grained access control for different user groups, ensuring that they can access only the content they need. You need to recommend the appropriate configuration for securing access to storage buckets.
Question:
In the context of securing access to multimedia content in Google Cloud Storage for different user groups within a media company, what should you recommend for the most granular access control?
A. Apply broad Identity and Access Management (IAM) roles at the project level, granting access to users based on their departments.
B. Implement Google Cloud Bucket Policies to define access control at the bucket level, restricting access to specific content by user group.
C. Utilize Google Cloud Identity-Aware Proxy (IAP) for centralized access management and secure user authentication.
D. Establish network-level firewall rules to restrict access to Google Cloud Storage based on IP address ranges.
Answer: B
Explanation:
Correct Option:
B. Implement Google Cloud Bucket Policies to define access control at the bucket level, restricting access to specific content by user group.
Explanation:
In the context of securing access to multimedia content in Google Cloud Storage for different user groups within a media company, the recommended approach for achieving the most granular access control is to implement Google Cloud Bucket Policies. Here‘s why this is the best choice:
Google Cloud Bucket Policies: Bucket Policies allow you to define access control at the bucket level, enabling fine-grained control over who can access specific content within a storage bucket. You can specify which users or user groups have access to objects within the bucket. This provides the granular control over access to multimedia content.
Why Other Options Are Incorrect:
A. Apply broad Identity and Access Management (IAM) roles at the project level, granting access to users based on their departments:
While IAM roles can provide access control, applying them at the project level may not provide the level of granularity needed to restrict access to specific content within a storage bucket. It may lead to over-entitlement for some users.
C. Utilize Google Cloud Identity-Aware Proxy (IAP) for centralized access management and secure user authentication:
Google Cloud IAP is valuable for access control but focuses more on authentication and centralized access management, rather than fine-grained control over access to specific objects within a bucket.
D. Establish network-level firewall rules to restrict access to Google Cloud Storage based on IP address ranges:
Network-level firewall rules can restrict access based on IP address ranges but are not designed for granular access control within storage buckets. They provide a different layer of security.
In summary, option B, implementing Google Cloud Bucket Policies to define access control at the bucket level, is the most suitable approach for achieving the most granular access control to multimedia content in Google Cloud Storage for different user groups within the media company. It allows you to specify precisely who can access specific objects within the bucket, enhancing security and access control.
For a full set of 1280 questions. Go to
SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
SkillCertPro updates exam questions every 2 weeks.
You will get life time access and life time free updates
SkillCertPro assures 100% pass guarantee in first attempt.
Question 6:
Scenario:
You are a GCP architect working with a retail company that operates an online platform with millions of daily transactions. The company uses Google BigQuery to analyze and gain insights from its vast amount of data. The analytics team frequently runs complex SQL queries to extract valuable business insights. However, running these queries can be costly due to their complexity and the amount of data involved. The company is looking to optimize query costs and improve query efficiency.
Question:
In the context of optimizing query costs and improving query efficiency for the retail company‘s analytics team using Google BigQuery, which practice should you recommend?
A. Use BigQuery‘s dry run mode to estimate the query costs before executing complex SQL queries.
B. Implement Cloud Pub/Sub to stream query results in real-time for faster analysis.
C. Utilize Google Cloud Dataflow to preprocess and transform data before running queries to reduce query complexity.
D. Enable BigQuery‘s slot reservation for dedicated query processing capacity.
Answer: A
Explanation:
Correct Option:
A. Use BigQuery‘s dry run mode to estimate the query costs before executing complex SQL queries.
Explanation:
In the context of optimizing query costs and improving query efficiency for the retail company‘s analytics team using Google BigQuery, the recommended practice is to use BigQuery‘s dry run mode. Here‘s why this is the best choice:
BigQuery‘s Dry Run Mode: Dry run mode allows users to estimate the query costs of a complex SQL query before actually executing it. This feature is valuable for optimizing query costs and ensuring that the query is within budget. It helps users avoid unexpected high costs and allows them to fine-tune queries for efficiency.
Why Other Options Are Incorrect:
B. Implement Cloud Pub/Sub to stream query results in real-time for faster analysis:
Cloud Pub/Sub is useful for real-time data streaming but doesn‘t directly address query optimization and cost estimation, which is the primary concern in this scenario.
C. Utilize Google Cloud Dataflow to preprocess and transform data before running queries to reduce query complexity:
Google Cloud Dataflow is valuable for data preprocessing and transformation but may not be as effective for optimizing complex SQL queries directly in BigQuery.
D. Enable BigQuery‘s slot reservation for dedicated query processing capacity:
Slot reservation in BigQuery is valuable for ensuring dedicated query processing capacity but doesn‘t directly address the need to estimate and optimize query costs before execution.
In summary, option A, using BigQuery‘s dry run mode to estimate the query costs before executing complex SQL queries, is the most suitable practice for optimizing query costs and improving query efficiency in Google BigQuery for the retail company‘s analytics team. It provides a cost-effective way to plan and fine-tune queries for better efficiency.
Question 7:
Scenario:
You are a GCP architect working with a large e-commerce company that relies on Google BigQuery for its data analytics and reporting needs. The company has complex reporting requirements, and it often experiences delays in query processing during peak times. To address this issue, you need to recommend a solution that ensures consistent and predictable query performance, especially during high-demand periods.
Question:
In the context of ensuring consistent and predictable query performance for a large e-commerce company using Google BigQuery, which practice should you recommend?
A. Utilize Google Cloud Dataflow for parallel data processing to speed up query execution.
B. Implement a complex caching mechanism to store query results and reduce the load on BigQuery.
C. Use BigQuery‘s slot reservation to allocate dedicated query processing capacity for the company‘s queries.
D. Opt for Google Cloud Dataprep to perform data preparation tasks before running queries in BigQuery.
Answer: C
Explanation:
Correct Option:
C. Use BigQuery‘s slot reservation to allocate dedicated query processing capacity for the company‘s queries.
Explanation:
In the context of ensuring consistent and predictable query performance for a large e-commerce company using Google BigQuery, the recommended practice is to use BigQuery‘s slot reservation. Here‘s why this is the best choice:
BigQuery‘s Slot Reservation: Slot reservation allows you to allocate dedicated query processing capacity, known as slots, for your queries in BigQuery. This ensures that your queries receive the necessary resources and can be executed with consistent and predictable performance, even during peak demand periods. It helps reduce query processing delays and ensures that queries complete efficiently.
Why Other Options Are Incorrect:
A. Utilize Google Cloud Dataflow for parallel data processing to speed up query execution:
Google Cloud Dataflow is valuable for parallel data processing but doesn‘t directly address the need for consistent and predictable query performance in BigQuery.
B. Implement a complex caching mechanism to store query results and reduce the load on BigQuery:
Caching mechanisms can help reduce the load on BigQuery, but they may not guarantee consistent and predictable query performance, especially for complex and dynamic queries.
D. Opt for Google Cloud Dataprep to perform data preparation tasks before running queries in BigQuery:
Google Cloud Dataprep is useful for data preparation but focuses on data cleaning and transformation, rather than addressing query performance and processing delays.
In summary, option C, using BigQuery‘s slot reservation to allocate dedicated query processing capacity for the company‘s queries, is the most suitable practice for ensuring consistent and predictable query performance in Google BigQuery for the large e-commerce company. It provides the necessary resources and optimization for efficient query processing.
Question 8:
Scenario:
You work as a GCP architect for a mid-sized e-commerce company that utilizes Google Cloud Platform (GCP) for its online operations. The finance team is concerned about managing cloud costs effectively and ensuring that spending aligns with budgets. They‘ve requested a solution to track costs and receive notifications when budget thresholds are reached.
Question:
In the context of helping the e-commerce company manage cloud costs and stay within budget, what approach should you recommend?
A. Create custom scripts to regularly pull cost data from the GCP Billing API and send email notifications when expenses approach budget limits.
B. Utilize Google Cloud Budgets and Billing Alerts to define budget limits and receive automatic email notifications when expenditures reach specified thresholds.
C. Set up automated weekly meetings with the finance team to manually review and discuss cost reports generated from GCP Billing data.
D. Implement Google Cloud Identity-Aware Proxy (IAP) to secure cloud resources and manage access, reducing potential overspending.
Answer: B
Explanation:
Correct Option:
B. Utilize Google Cloud Budgets and Billing Alerts to define budget limits and receive automatic email notifications when expenditures reach specified thresholds.
Explanation:
In the context of helping the e-commerce company manage cloud costs and stay within budget, the recommended approach is to utilize Google Cloud Budgets and Billing Alerts. Here‘s why this is the best choice:
Google Cloud Budgets: Google Cloud Budgets allows you to define spending limits and budget thresholds. You can set specific budget amounts for different aspects of your cloud usage.
Billing Alerts: Billing Alerts is a feature that integrates with Google Cloud Budgets. It automatically sends email notifications when expenditures reach or exceed the specified thresholds. This automated approach ensures timely awareness and action when costs approach budget limits, helping to manage cloud costs effectively.
Why Other Options Are Incorrect:
A. Create custom scripts to regularly pull cost data from the GCP Billing API and send email notifications when expenses approach budget limits:
Custom scripts can be complex to maintain and may not offer the same level of automation and ease of use as built-in Google Cloud Budgets and Billing Alerts.
C. Set up automated weekly meetings with the finance team to manually review and discuss cost reports generated from GCP Billing data:
While regular meetings for cost review are valuable, they may not provide the real-time notifications and automated tracking that Google Cloud Budgets and Billing Alerts offer.
D. Implement Google Cloud Identity-Aware Proxy (IAP) to secure cloud resources and manage access, reducing potential overspending:
Google Cloud Identity-Aware Proxy (IAP) is more focused on access control and security, rather than budget tracking and alerts for cost management.
In summary, option B, utilizing Google Cloud Budgets and Billing Alerts to define budget limits and receive automatic email notifications when expenditures reach specified thresholds, is the most suitable approach for managing cloud costs and budget tracking for the e-commerce company on GCP. It provides the automation and timely notifications needed for effective cost management.
Question 9:
Scenario:
You are a GCP architect working with a regional e-commerce company that serves customers within the Asia region. The company is experiencing occasional service interruptions, affecting the customer experience in Asia. To improve availability and reliability for local customers, the company needs a solution that provides real-time monitoring of its services and can efficiently distribute traffic to healthy instances.
Question:
In the context of improving service availability and reliability for the regional e-commerce company serving customers in the Asia region, which approach should you recommend?
A. Set up a global network load balancer with manual instance management to distribute traffic efficiently.
B. Implement a health check and use a regional network load balancer to distribute traffic to healthy instances.
C. Create an external HTTP(S) load balancer and enable CDN (Content Delivery Network) for faster content delivery.
D. Utilize an internal TCP/UDP load balancer for improved security and reduced latency within the network.
Answer: B
Explanation:
Correct Option:
B. Implement a health check and use a regional network load balancer to distribute traffic to healthy instances.
Explanation:
In the context of improving service availability and reliability for the regional e-commerce company serving customers in the Asia region, the recommended approach is to implement a health check and use a regional network load balancer. Here‘s why this is the best choice:
Regional Network Load Balancer: A regional network load balancer is designed to efficiently distribute traffic within a specific region. This is particularly beneficial for serving customers in the Asia region, as it ensures low-latency access to healthy instances located within the same geographic area.
Health Check: Implementing a health check allows real-time monitoring of the health and status of the instances. Unhealthy instances are automatically taken out of rotation, ensuring that only healthy instances serve customer traffic. This improves service availability and reliability.
Why Other Options Are Incorrect:
A. Set up a global network load balancer with manual instance management to distribute traffic efficiently:
While global load balancers are suitable for global traffic distribution, they may introduce additional complexity for a regional use case, and manual instance management is less efficient than automated health checks.
C. Create an external HTTP(S) load balancer and enable CDN (Content Delivery Network) for faster content delivery:
Enabling a CDN is valuable for content delivery but doesn‘t directly address the issue of service interruptions and reliability.
D. Utilize an internal TCP/UDP load balancer for improved security and reduced latency within the network:
Internal load balancers are designed for internal network traffic and may not address the issue of service interruptions for customer-facing applications.
In summary, option B, implementing a health check and using a regional network load balancer to distribute traffic to healthy instances, is the most suitable approach to improve service availability and reliability for the regional e-commerce company serving customers in the Asia region. It ensures low-latency access and automatic handling of healthy instances for a better customer experience.
Question 10:
Scenario:
You work as a GCP architect for a global media company that provides online streaming services for its audience. The company has experienced slow content delivery and high latency, especially during peak usage hours. To enhance the user experience and reduce loading times for media content, you need to recommend a solution that improves content delivery speed and optimizes latency.
Question:
In the context of enhancing content delivery speed and reducing latency for the global media company‘s online streaming services, which approach should you recommend?
A. Utilize Google Cloud‘s Memorystore to cache frequently accessed data and reduce content retrieval times.
B. Set up a regional network load balancer to distribute traffic efficiently across multiple data centers.
C. Implement a Cloud CDN (Content Delivery Network) and use an HTTP(S) load balancer to serve media content, optimizing delivery speed and reducing latency.
D. Opt for Google Cloud‘s Direct Peering to establish direct network connections for faster data transmission.
Answer: C
Explanation:
Correct Option:
C. Implement a Cloud CDN (Content Delivery Network) and use an HTTP(S) load balancer to serve media content, optimizing delivery speed and reducing latency.
Explanation:
In the context of enhancing content delivery speed and reducing latency for the global media company‘s online streaming services, the recommended approach is to implement a Cloud CDN (Content Delivery Network) and use an HTTP(S) load balancer. Here‘s why this is the best choice:
Cloud CDN: A content delivery network (CDN) caches content on servers distributed across various geographic locations. This significantly reduces the latency by serving content from the nearest edge location to the user, improving the delivery speed and overall user experience.
HTTP(S) Load Balancer: An HTTP(S) load balancer efficiently distributes traffic across instances, ensuring that media content is delivered without delays and bottlenecks.
Why Other Options Are Incorrect:
A. Utilize Google Cloud‘s Memorystore to cache frequently accessed data and reduce content retrieval times:
Memorystore is a managed Redis service for caching, but it‘s more focused on caching data and may not optimize content delivery speed for media streaming.
B. Set up a regional network load balancer to distribute traffic efficiently across multiple data centers:
While a regional load balancer can distribute traffic, it doesn‘t address content delivery speed and latency issues as effectively as a CDN.
D. Opt for Google Cloud‘s Direct Peering to establish direct network connections for faster data transmission:
Direct Peering is valuable for network connections but is not designed to optimize content delivery and reduce latency for media streaming services.
In summary, option C, implementing a Cloud CDN and using an HTTP(S) load balancer to serve media content, is the most suitable approach to enhance content delivery speed and reduce latency for the global media company‘s online streaming services. It leverages the benefits of a CDN to optimize delivery speed and user experience.
For a full set of 1280 questions. Go to
SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
SkillCertPro updates exam questions every 2 weeks.
You will get life time access and life time free updates
SkillCertPro assures 100% pass guarantee in first attempt.