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Your organization needs to plan its cloud infrastructure expenditures. Which should your organization do?
Answer: A
Answer is A... Don't be fooled by 'Cloud Infrastructure' as being only physical. the resources like Cloud VPN, Internconnects, GCE, etc are all 'cloud infrastructure'... resources and cloud infrastructure are used interchangeable...
Source: Adapted from community discussion — desertlotus1211
Which Google Cloud product is designed to reduce the risks of handling personally identifiable information (PII)?
Answer: C
Must be C. Cloud Data Loss Prevention: Fully managed service designed to help you discover, classify, and protect your most sensitive data.
Source: Adapted from community discussion — AbdulioUnited
Your organization is migrating to Google Cloud. As part of that effort, it needs to move terabytes of data from on-premises file servers to Cloud Storage. Your organization wants the migration process to be automated and to be managed by Google. Your organization has an existing Dedicated Interconnect connection that it wants to use. Which Google Cloud product or feature should your organization use?
Answer: A
The Storage Transfer Service is a managed service provided by Google Cloud that simplifies the process of transferring data to and from Cloud Storage. The Storage Transfer Service simplifies the data migration process by automating many of the steps involved. It provides a reliable and scalable solution for migrating large amounts of data from on-premises file servers to Cloud Storage. However, it's important to note that the Storage Transfer Service relies on internet connectivity for data transfer, so consider your network bandwidth and transfer speed requirements when using this service.
Source: Adapted from community discussion — cookieMr
Your organization needs to analyze data in order to gather insights into its daily operations. You only want to pay for the data you store and the queries you perform. Which Google Cloud product should your organization choose for its data analytics warehouse?
Answer: D
Google BigQuery is a fully managed, serverless data warehouse that offers high-performance analytics on large datasets. It is designed to handle massive amounts of data and provides a scalable solution for your data analytics needs. By leveraging Google BigQuery, your organization can efficiently analyze large volumes of data, gain actionable insights, and only pay for the resources and queries consumed, making it a cost-effective and scalable solution for your data analytics warehouse needs.
Source: Adapted from community discussion — cookieMr
Your organization wants to run a container-based application on Google Cloud. This application is expected to increase in complexity. You have a security need for fine-grained control of traffic between the containers. You also have an operational need to exercise fine-grained control over the application's scaling policies. What Google Cloud product or feature should your organization use?
Answer: A
I would say A. GKE seems a better fit since the requirement is for "security need for fine-grained control of traffic between the containers" and "fine-grained control over scaling policies". Such level of control is easier on GKE that Cloud Run.
Source: Adapted from community discussion — fpreli
Which Google Cloud product or feature makes specific recommendations based on security risks and compliance violations?
Answer: B
Google Cloud Security Command Center (Cloud SCC) is a comprehensive security management and data risk assessment platform. By using Google Cloud Security Command Center, your organization can gain valuable insights into the security risks and compliance violations in your Google Cloud environment. It provides actionable recommendations to improve your security posture, mitigate vulnerabilities, and ensure compliance with industry standards.
Source: Adapted from community discussion — cookieMr
Which Google Cloud product provides a consistent platform for multi-cloud application deployments and extends other Google Cloud services to your organization's environment?
Answer: D
Anthos is an open hybrid and multi-cloud platform offered by Google Cloud. It enables you to build, deploy, and manage applications consistently across multiple clouds, including Google Cloud, on-premises environments, and other public cloud providers. Anthos brings Google Cloud's services and capabilities to your organization's infrastructure, providing a unified and consistent experience across different environments. By using Anthos, your organization can leverage Google Cloud's services and capabilities across multiple cloud environments. It provides a consistent and unified platform for application development, deployment, and management, regardless of the underlying infrastructure.
Source: Adapted from community discussion — cookieMr
Your organization is developing an application that will manage payments and online bank accounts located around the world. The most critical requirement for your database is that each transaction is handled consistently. Your organization anticipates almost unlimited growth in the amount of data stored. Which Google Cloud product should your organization choose?
Answer: D
CloudSpanner is the correct answer. Firestore is for mobile applications developed from Firebase, GCS is not a Database and Cloud SQL is to simple for this amout of data.
Source: Adapted from community discussion — vinibisineli
Your organization wants an economical solution to store data such as files, graphical images, and videos and to access and share them securely. Which Google Cloud product or service should your organization use?
Answer: A
If you're familiar with AWS, Google Storage is GCP's version of AWS Simple Storage Service (S3) and an S3 bucket would be equivalent to a Google Storage bucket across the two clouds.
Source: Adapted from community discussion — A_A_AB
Your organization wants to predict the behavior of visitors to its public website. To do that, you have decided to build a machine learning model. Your team has database-related skills but only basic machine learning skills, and would like to use those database skills. Which Google Cloud product or feature should your organization choose?
Answer: A
BigQuery ML lets you create and execute machine learning models in BigQuery using standard SQL queries. BigQuery ML democratizes machine learning by letting SQL practitioners build models using existing SQL tools and skills. BigQuery ML increases development speed by eliminating the need to move data. https://cloud.google.com/bigquery-ml/docs/introduction
Source: Adapted from community discussion — albert_kuo
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