Question 151 · 288 in bank
An organization needs to increase the speed at which they can train machine learning models. Which domain-specific hardware is designed for this task?
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Answer: C
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An organization needs to increase the speed at which they can train machine learning models. Which domain-specific hardware is designed for this task?
Answer: C
An organization has migrated several large databases to the cloud. It wants to increase the value of its data, improve cost controls and strengthen regulatory compliance. What should the organization do?
Answer: D
D. Establish an effective data governance program. A data governance program will help the organization ensure that its data is properly managed, secure, and compliant with regulatory requirements. It can help improve the value of the data by ensuring it's accessible and used appropriately, enhance cost controls by optimizing data storage and usage, and strengthen regulatory compliance by ensuring data is handled in accordance with legal and industry standards.
Source: Adapted from community discussion — joshnort
An organization has hired a team of data scientists and developers. They want to create unique value in their business by coding an advanced machine learning model in Vertex AI Workbench. Which service should the organization use to train the model?
Answer: A
A: Custom training allows organizations to train machine learning models using their own custom data and algorithms. This approach is suitable for cases where organizations have specific requirements, unique datasets, or specialized machine learning tasks that cannot be addressed by pre-built solutions. With custom training, organizations have full control over the model architecture, hyperparameters, and training process, enabling them to create highly tailored and optimized machine learning models to address their specific business needs.
Source: Adapted from community discussion — Vivek007
An organization is concerned that one of their applications takes too long to return a result. According to Google’s “Four Golden Signals,” which signal measures this aspect of the application’s performance?
Answer: C
An organization is transforming their raw data into a format that can be used to derive business insights. Which step of the data value chain does this action represent?
Answer: D
An organization has a small development team that has created a web application which runs in a single container. They need a simple, serverless, and scalable way to host their container. Which Google service should the organization use?
Answer: D
D: Cloud Run is a fully managed compute platform that enables organizations to run stateless containers in a serverless environment. With Cloud Run, developers can deploy containerized applications quickly and easily without worrying about managing infrastructure. Cloud Run automatically scales the application based on incoming traffic, ensuring that resources are allocated efficiently to handle demand. This makes it an ideal choice for hosting containerized web applications, providing simplicity, scalability, and cost-effectiveness. C. Kubernetes Engine Kubernetes Engine is a managed Kubernetes service that enables organizations to deploy, manage, and scale containerized applications using Kubernetes. While it offers scalability and management features, it may be more complex and require more configuration than Cloud Run for a small development team seeking a simpler solution.
Source: Adapted from community discussion — Vivek007
Your organization needs to establish private network connectivity between its on-premises network and its workloads running in Google Cloud. You need to be able to set up the connection as soon as possible. Which Google Cloud product or feature should you use?
Answer: C
Cloud VPN setup can be done instantly and though it travels over internet, it is private in nature. Cloud interconnect needs physically dedicated connection.
Source: Adapted from community discussion — anirban7172
An organization wants a centralized view of their cloud infrastructure in a fully managed system that includes uptime checks. Which Google Cloud service should they use?
Answer: B
Here’s what the other options are used for: A. Cloud Trace: Cloud Trace helps with analyzing the latency of applications, providing insights into performance bottlenecks, but it doesn’t focus on overall infrastructure monitoring or uptime. C. Cloud Logging: Cloud Logging is primarily used for collecting and storing logs from your applications and services. While it helps in diagnosing issues, it doesn't offer the full suite of monitoring features like uptime checks. D. Cloud Profiler: Cloud Profiler helps developers understand the performance characteristics of their applications in production, focusing on CPU usage, memory, and other resource metrics. It is not designed for infrastructure-wide monitoring.
Source: Adapted from community discussion — joshnort
An organization wants to migrate a workload to the cloud without changing the application code or architecture. Which migration path describes this approach?
Answer: A
Which scenario uses machine learning to unlock business value from unstructured data?
Answer: D
D. Determining customer sentiments from call center voice recordings. This scenario uses machine learning to analyze unstructured data (voice recordings) to extract insights (customer sentiments). By understanding customer sentiments, businesses can make informed decisions to improve their products or services, enhance customer satisfaction, and ultimately drive business value.
Source: Adapted from community discussion — jancsn
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