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Huawei H13-711_V3.5 Exam Overview:
| Certification Vendor: | Huawei |
|---|---|
| Exam Name: | Huawei Certified ICT Associate - Big Data V3.5 |
| Exam Number: | H13-711_V3.5 |
| Exam Price: | USD 200 |
| Certificate Validity Period: | 3 years |
| Exam Format: | Multiple-choice, Short answer, Drag and drop, True/False, Single-choice |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 60 |
| Passing Score: | 600/1000 |
| Available Languages: | Spanish, Chinese, English |
| Related Certifications: | HCIE-Big Data HCIP-Big Data |
| Recommended Training: | HCIA-Big Data V3.5 Official Training Course |
| Exam Registration: | Pearson VUE Registration Huawei Talent Online |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | Basic knowledge of Linux operation and Hadoop principles is recommended; no mandatory prerequisites |
| Official Syllabus URL: | https://e.huawei.com/en/talent/certification/exam/h13-711_v3.5 |
Huawei H13-711_V3.5 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: HBase & Hive | 20% | - HBase architecture, data model, design and operation - Hive data warehouse principle, table design, SQL and optimization |
| Topic 2: Flume & Kafka | 12% | - Kafka message system, storage, transmission and application - Flume data collection mechanism and configuration |
| Topic 3: MapReduce & YARN | 12% | - MapReduce programming model and execution process - YARN architecture, resource scheduling and management |
| Topic 4: ClickHouse & Elasticsearch | 8% | - ClickHouse architecture, storage and query features - Elasticsearch search engine, indexing and analysis |
| Topic 5: Spark & Flink | 20% | - Spark core architecture, RDD, DataFrame, SQL and streaming processing - Flink stream processing, architecture, API and application development |
| Topic 6: Huawei Big Data Platform MRS & DataArts Studio | 8% | - Typical industry solutions and cases - DataArts Studio data development and governance - MRS platform architecture, components and operation |
| Topic 7: Big Data Industry Overview & Basic Concepts | 8% | - Development trend and characteristics of big data - Application scenarios and value of big data - Huawei Kunpeng big data ecosystem |
| Topic 8: HDFS & ZooKeeper | 12% | - ZooKeeper core functions and working mechanism - HDFS architecture, principle and operation |
Huawei HCIA-Big Data V3.5 Exam FAQ: Before You Commit
The H13-711_V3.5 exam is Huawei's official certification test — passing it earns the HCIA-Big Data credential at the Associate level. It demands genuine, working knowledge rather than theory alone, which is why candidates who prepare casually tend to stumble. It also feeds into related credentials such as HCIP-Big Data, HCIE-Big Data, extending its value beyond one certificate.
Protection and delivery, both in writing. Delivery: the H13-711_V3.5 product reaches your mailbox within one minute of payment; if nothing arrives within 2 hours, check spam and contact support for an immediate resend. Refund: sit the corresponding H13-711_V3.5 exam within 60 days of purchase, and if you fail, apply with a scanned enrollment slip and the official Score Report PDF within 2 days after the exam — refunds complete within 7 days. The policy covers the corresponding exam only; attempts within 3 days of purchase, exams never actually taken, free materials, and expired orders are excluded, and the candidate name must match the payer name. Prefer to keep going? Exchange your product for two free exam products of equal value instead — the update service on your original purchase stays active.
Huawei recommends these training options:
Formal training fills the gaps; the 512 practice questions for the H13-711_V3.5 exam from Lead2Passed then sharpen them into exam-ready skill.
The Huawei HCIA-Big Data V3.5 exam costs USD 200 per attempt, with 600/1000 as the passing mark. Fail, and USD 200 is payable again — the price of walking in half-prepared. A practical safeguard: practice with Lead2Passed until your timed mock results clear 600/1000 comfortably, then book the H13-711_V3.5 exam.
Booking runs through Huawei's official channels:
Note that delivery of the exam itself is via Online proctored or onsite at Pearson VUE test centers.
Basic knowledge of Linux operation and Hadoop principles is recommended; no mandatory prerequisites Eligibility requirements come from Huawei and can be revised, so confirm the current rules on the official exam page: https://e.huawei.com/en/talent/certification/exam/h13-711_v3.5 before committing to a Huawei HCIA-Big Data V3.5 registration.
The Huawei HCIA-Big Data V3.5 exam is organized into 8 knowledge areas, with Big Data Industry Overview & Basic Concepts (8%), Huawei Big Data Platform MRS & DataArts Studio (8%), Spark & Flink (20%) among the most significant. Allocate study time to match those weights, and see the outline section above for the complete list.
60 questions in 90 minutes — that is the Huawei HCIA-Big Data V3.5 exam in numbers. The per-question budget is tight, and hesitation is what eats it. Train the pace deliberately: run full timed simulations in the Lead2Passed engine, practice committing to an answer and moving on, and the real H13-711_V3.5 exam will feel familiar instead of frantic.
You can — the Lead2Passed free demo covers the Huawei HCIA-Big Data V3.5 material, so download some sample questions and answers first and judge quality yourself. Once you buy, 365 days of free updates are included; after that period, extend the update service at a 50% discount from your member zone.
Huawei HCIA-Big Data V3.5 Sample Questions:
Kerberos can only provide security authentication for services in the cluster.
- A. False
- B. True
Correct Answer: A 🗳️
In the flume architecture, a Source can connect to multiple channels.
- A. False
- B. True
Correct Answer: B 🗳️
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
Correct Answer: A 🗳️
What is the resource management framework that comes with Spark?
- A. Standalone
- B. YARN
- C. Docker
- D. Mesos
Correct Answer: A 🗳️
On the Fusioninsight HD platform, HBase does not currently support secondary indexes.
- A. False
- B. True
Correct Answer: A 🗳️
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