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Performing Smart Analytics and AI on GCP: What Is Required to Sustain Long-Term Growth in On-Premise Data Infrastructure?

Learn how to sustain long-term growth in on-premise data infrastructure by creating a scalable plan and allocating resources effectively. Explore best practices for maintaining scalability and performance.

Table of Contents

Question

You have an on-premise data infrastructure and you are expecting to have long term growth with the size of your data. What would be required of you in order to sustain this?

A. Create steps to ensure that your data is available from anywhere in the world
B. Allow your vendor to maintain the ability to scale your resources up and down
C. Allow your vendor to hold all control of your security and maintenance
D. Create a long-term plan and allocate resources to maintain scalability

Answer

D. Create a long-term plan and allocate resources to maintain scalability

Explanation

To sustain long-term growth in an on-premise data infrastructure, organizations must focus on scalability and resource allocation. This involves proactively designing systems that can handle increasing data volumes over time while maintaining performance and reliability. Here’s why option D is the correct choice:

  • Scalability Planning: On-premise infrastructure requires a well-thought-out strategy to ensure systems can scale as data grows. Unlike cloud solutions, which offer dynamic scaling, on-prem setups need physical upgrades like additional servers, storage devices, and networking equipment.
  • Resource Allocation: Organizations must allocate sufficient resources—both financial and human—to manage hardware upgrades, software updates, and ongoing maintenance. This ensures the infrastructure remains robust and capable of supporting future demands.
  • Control and Customization: On-premise solutions provide complete control over infrastructure, allowing businesses to tailor systems to specific needs. However, this control comes with the responsibility of managing scalability independently.
  • Avoiding Vendor Dependency: While leveraging cloud vendors for scalability (option B) might seem convenient, it contradicts the principles of on-premise setups, which prioritize self-management and direct control.
  • Security and Maintenance: Allowing vendors full control over security and maintenance (option C) would undermine the advantages of on-premise infrastructure, such as enhanced data security and privacy through direct oversight.
  • Global Availability (Option A): Ensuring global availability is more relevant to cloud-based infrastructures rather than on-prem setups, which are typically localized within organizational premises.

By focusing on creating a long-term plan and allocating resources for scalability, organizations can effectively manage their on-premise data infrastructure while preparing for future growth challenges.

Performing Smart Analytics and AI on Google Cloud Platform skill assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Performing Smart Analytics and AI on Google Cloud Platform exam and earn Performing Smart Analytics and AI on Google Cloud Platform certification.