PDF Version DemoHuawei H13-711-ENU Exam Overview:
| Certification Vendor: | Huawei |
| Exam Name: | HCIA-Big Data (Huawei Certified ICT Associate - Big Data) |
| Exam Number: | H13-711-ENU |
| Real Exam Qty: | Approx. 60 |
| Passing Score: | 600/1000 |
| Available Languages: | English, Chinese |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | 3 years |
| Exam Format: | Single choice, Multiple choice, True/False |
| Related Certifications: | HCIP-Big Data HCIE-Big Data |
| Recommended Training: | Huawei Talent Online Learning Platform |
| Exam Registration: | Huawei Certification Registration Portal |
| Sample Questions: | Huawei H13-711-ENU Sample Questions |
| Exam Way: | Proctored exam via Pearson VUE or authorized Huawei exam centers / online proctoring (availability varies by region) |
| Pre Condition: | Basic ICT knowledge recommended; no strict prerequisite certification required |
| Official Syllabus URL: | https://e.huawei.com/en/talent/certification |
Huawei H13-711-ENU Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Hadoop Ecosystem | - HDFS
|
| Topic 2: Big Data Fundamentals | - Introduction to Big Data
|
| Topic 3: Big Data Storage and Processing | - Distributed Computing
|
| Topic 4: Big Data Operation and Security | - Cluster Management
|
| Topic 5: Data Ingestion and Integration | - Data Collection Technologies
|
Huawei HCIA-Big Data(Huawei Certified ICT Associate-Big Data) Sample Questions:
1. From the point of view of the life cycle, what are the main stages of data? (Multiple choice)
A) Data collection
B) Data Presentation
C) Data Analysis
D) Data management
E) Data Storage
2. The LdapServer in Huawei's big data platform can support different types of operations such as query, update, and authentication.
A) True
B) wrong
3. Flink is suitable for applications with high concurrency processing data and millisecond-level latency.
A) True
B) False
4. In creating a Loader job, which of the following steps can set the filter type?
A) Conversion
B) Input settings
C) output
D) Basic information
5. Which of the following descriptions about the characteristics of big data and traditional database data is wrong?
A) Big data is the data processing of "fish in the pond", with a clear goal; the data processing of traditional databases is to judge whether other kinds of "fish" exist through certain "fish"
B) In big data, there is no unified data tool, that is, "No size fits all"; in traditional databases, in a specific business scenario, often one tool can solve a problem, that is, "One size fits all" all"
C) There are many types of data processed by big data, including structured, unstructured and semi-structured data; the types of data in traditional databases are relatively single, often structured data
D) The data scale of big data is very large, and TB and PB are generally used as data processing units; the data scale in traditional databases is generally small, and MB is often used as data processing units
Solutions:
| Question # 1 Answer: A,C,D,E | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: A |
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