BigQuery is capable of analyzing and processing _______ datasets.
- Big
- Small
- Medium
- Structured
Understanding the scalability and capacity of BigQuery is essential for leveraging its capabilities effectively in data analytics projects. Recognizing its ability to handle large datasets is particularly important for intermediate users familiarizing themselves with the platform.
Google Compute Engine provides _______ virtual machine instances.
- Predefined
- Customizable
- Static
- Managed
Knowing that Google Compute Engine provides predefined virtual machine instances helps users understand the options available for deploying workloads on the platform without needing to configure every aspect of the instance.
Google Cloud _______ provides a managed environment for running TensorFlow workloads.
- AI Platform
- Compute Engine
- Cloud Storage
- Kubeflow
Google Cloud AI Platform provides a managed environment optimized for running TensorFlow workloads, offering features such as distributed training, model serving, and monitoring. Understanding the capabilities of AI Platform is essential for intermediate users seeking to leverage TensorFlow on Google Cloud Platform.
Scenario: A team is looking for a serverless solution for data processing to avoid managing infrastructure. Which Google Cloud service would fulfill this requirement effectively?
- Google Cloud Dataflow
- Google Cloud Dataproc
- Google Cloud Pub/Sub
- Google BigQuery
Choosing a serverless solution for data processing can simplify infrastructure management and reduce operational overhead. Google Cloud Dataflow provides serverless capabilities for both stream and batch processing, making it an effective choice for teams looking to avoid managing infrastructure while processing data.
In Google Cloud's Network Service Tiers, the _______ tier provides the highest level of performance and availability.
- Premium
- Standard
- Basic
- Advanced
Understanding the characteristics of each tier in Google Cloud's Network Service Tiers helps users select the appropriate tier to meet the performance and availability requirements of their applications.
Scenario: A large enterprise with a complex IT infrastructure is looking to improve its access control and security policies. How can Cloud Identity assist them in achieving their goals?
- Cloud Identity-Aware Proxy (IAP)
- Google Cloud IAM
- Google Cloud Security Command Center
- Google Cloud Identity Platform
Cloud Identity offers a range of features, including Cloud Identity-Aware Proxy (IAP), that help enterprises improve access control and security policies by providing granular control over user access to cloud applications and resources, enhancing security without sacrificing user experience.
In which scenarios would you consider using Regional Persistent Disk over Zonal Persistent Disk in Google Cloud?
- When you need higher availability and redundancy for your data.
- When you need lower latency for accessing data stored on the disk.
- When you need to minimize storage costs for your deployment.
- When you need to isolate data within a specific zone for regulatory compliance.
Understanding the differences between Regional Persistent Disks and Zonal Persistent Disks helps in selecting the appropriate storage option based on the requirements of your application, such as availability, latency, cost, and regulatory compliance.
_______ allows users to create backups of Persistent Disk data for disaster recovery.
- Cloud Snapshot
- Cloud Storage
- Cloud Backup
- Cloud Archive
Understanding the backup options available for Persistent Disk data is essential for implementing robust disaster recovery strategies on Google Cloud Platform.
In Pub/Sub, what is the role of a subscriber?
- A subscriber is responsible for receiving and processing messages from Pub/Sub topics.
- A subscriber is responsible for publishing messages to Pub/Sub topics.
- A subscriber is responsible for managing access control and permissions for Pub/Sub topics.
- A subscriber is responsible for managing the storage and retention policies for messages in Pub/Sub topics.
Understanding the roles and responsibilities of subscribers in Pub/Sub is crucial for designing efficient message processing pipelines and event-driven architectures. Subscribers play a key role in consuming and acting upon messages published to Pub/Sub topics, enabling asynchronous and decoupled communication between components.
What is Stackdriver Logging used for in Google Cloud?
- Logging and monitoring of applications and infrastructure
- Virtual Machine Management
- DNS Management
- Content Delivery Network
Stackdriver Logging is a critical tool for managing logs in Google Cloud, providing visibility into application and infrastructure behavior for troubleshooting and analysis.