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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Innovating with Data and Google Cloud | 17% | - The value of data - Google Cloud data management solutions |
| Topic 2: Infrastructure and Application Modernization | 17% | - Modernizing applications with Google Cloud - Modernizing IT infrastructure with Google Cloud |
| Topic 3: Digital Transformation with Google Cloud | 17% | - Digital transformation with Google Cloud - Why cloud technology is revolutionizing business |
| Topic 4: Understanding Google Cloud Security and Operations | 17% | - Google Cloud operations - Google Cloud security |
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NEW QUESTION # 339
An organization is evaluating its defenses against cyber security threats and is concerned about the risks of social engineering by cyber criminals. How might these attacks happen?
Answer: B
Explanation:
Phishing emails are a common form of social engineering attack where attackers impersonate legitimate entities to trick users into revealing sensitive information, such as passwords or credit card details. These attacks exploit human psychology rather than technical vulnerabilities.
Option A: Phishing emails is correct because it represents a primary method of social engineering used by cybercriminals to manipulate individuals into divulging confidential information.
Reference:
Google Cloud Security Best Practices: Social Engineering Attacks
Google Cloud Cybersecurity Framework: Protection Against Phishing
NEW QUESTION # 340
An organization is running Kubernetes applications across multiple cloud environments They want a consistent and centralized management platform Which service should they choose?
Answer: B
NEW QUESTION # 341
Your company needs to segment Google Cloud resources used by each team from the others. The teams' efforts are changing frequently, and you need to reduce operational risk and maintain cost visibility. Which approach does Google recommend?
Answer: D
Explanation:
Reference:
The Teams need to segmented to have visibility on the resources each team consumes
NEW QUESTION # 342
Your customer's IT team is in the process of modernizing their customer-facing applications. They've witnessed others getting good results from employing microservices, and they're keen to adopt it themselves. The first application that they are modernizing has about 5 different sub-parts, which they have identified will be the services. They also identify that each of them has different scale requirements - some services like user login are less frequently used while others like transac-tions are heavily used. What technical strategy would you recommend for them?
Answer: D
Explanation:
Containers and Kubernetes are ideal for the kind of requirement mentioned here - separate microservices that need to scale independently.
Google Kubernetes Engine (GKE) provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure. The GKE environment consists of multiple machines (specifically, Compute Engine instances) grouped together to form a cluster.
Reference link- https://cloud.google.com/kubernetes-engine/docs/concepts/kubernetes-engine-overview
NEW QUESTION # 343
A prospect wants to be able to store and analyze data. Their analysts already know SQL, but are not familiar with other technologies. Which of these databases can the analysts use without addi-tional training?
Answer: D
Explanation:
Spanner, Cloud SQL, BigQuery
Spanner- Cloud Spanner is a fully managed, mission-critical, relational database service that offers transactional consistency at global scale, automatic, synchronous replication for high availability, and support for two SQL Google Standard SQL and PostgreSQL.
Cloud SQL- Cloud SQL is a fully-managed database service that helps you set up, maintain, manage, and administer your relational databases on Google Cloud Platform.
BigQuery- Google BigQuery is a cloud-based Architecture and provides exceptional performance as it can auto-scale up and down based on the data load and performs data analysis efficiently. On the other hand, SQL Server is based on client-server architecture and has fixed performance throughout unless the user scales it manually.
NEW QUESTION # 344
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