HCIA-Big Data

عن الشهادة

هي شهادة تأسيسية من Huawei ضمن مسار HCIA-Big Data، وتركّز على المفاهيم الأساسية للبيانات الضخمة (Big Data)، وإدارة البيانات، والمعالجة الموزعة، وأدوات Huawei الخاصة بمنصات البيانات، وتهدف إلى بناء قاعدة معرفية قوية تساعد المتقدّم على دخول مجال Big Data وفهم دورة حياة البيانات من التجميع والتخزين إلى المعالجة والتحليل باستخدام البنى الموزعة و تغطي الشهادة أساسيات Big Data، والتخزين والحوسبة الموزعة، ومفاهيم Hadoop وMapReduce، وأساسيات Spark، وإدارة البيانات عبر HDFS، واستخدام أدوات Huawei FusionInsight، إضافة إلى عمليات Data Collection وCleaning و Processing ، مما يجعلها شهادة مناسبة للمبتدئين الراغبين في فهم بنية البيانات الضخمة قبل الانتقال إلى المستويات المتقدمة.

المنهج الرئيسي

ينقسم المنهج إلى ثمانيه أجزاء رئيسية

  • AI System Security and Reliability
    • Model attacks and defenses
    • Reliability and robustness
    • Data security considerations
  • AI Lifecycle
    • Model development and training
    • CNNs, RNNs, Transformers
    • MindSpore framework
    • Hyperparameter tuning
    • Distributed training
  • Model Deployment and Engineering
    • Deployment via ModelArts
    • Online/offline inference
    • Model management
    • Edge AI deployment
  • AI and Machine Learning Fundamentals
    • Neural networks
    • Optimization algorithms
    • Deep Learning concepts
  • Data Management and Feature Engineering
    • Data labeling and cleaning
    • Feature extraction and selection
    • Data pipelines
    • Big Data integration
  • Enterprise AI Scenarios
    • Computer Vision
    • Natural Language Processing (NLP)
    • Speech Intelligence
    • Industrial AI
  • Optimization and Performance Tuning
    • Parallel processing
    • Computing acceleration (Ascend AI chips)
    • Model compression and quantization
  • System Integration and Architecture
    • EI platform integration
    • API services
    • Cloud AI applications

Exam Details :

  • Exam code: H13-711
  • Exam duration: 90 minutes
  • Number of questions: 60 questions
  • Question types: Multiple choice, multiple response, True/False
  • Language: English
  • Passing score: 600 out of 1000
  • Exam fee: USD 200 (may vary by country and may include taxes)
  • Certification validity: 3 years

Do I need certifications before it ?

No, not at all.

However, it is recommended to have basic database knowledge, introductory Linux commands, some programming experience (preferably Python), and a general understanding of IT infrastructure concepts.

Which certifications are recommended after this one ?

Not mandatory.
However, for those seeking a strong career path in Big Data fundamentals, especially in data collection, processing, analysis, and Huawei Big Data platforms, the HCIA-Big Data certification is a strong starting point.

What are the main uses of the HCIA-Big Data certification ?

  • Data Engineering Tracks (ETL / Streaming / Lakehouse) – Building robust data pipelines, batch, and real-time processing
  • HCIP-Big Data – Advanced professional-level Big Data design and processing
  • Cloud Data Platforms (Huawei Cloud / AWS / Azure / GCP) – Applying Big Data solutions in cloud environments
  • Machine Learning Fundamentals – Using Big Data for ML and AI model development
  • Data Governance & Security – Focusing on data quality, privacy, and compliance
  • Data Analytics & BI – Converting Big Data into insights and reports for decision-making

Your First Step into Big Data :

This certification provides a strong foundational understanding of Big Data environments, preparing candidates to advance to higher levels in data analysis, storage, and processing at scale.

Who is this certification suitable for ?

  • Beginner Data Engineers
  • Data Analysts
  • Infrastructure engineers
  • Distributed computing developers
  • Students in Data Science and AI

In Short :

An ideal entry point for understanding Big Data before progressing to HCIP and HCIE certifications.

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