Every candidate studies differently, so Actual4Exams offers the Huawei HCIP-Big Data Developer V1.0 practice questions in three formats: a printable PDF, a desktop test engine for Windows, and an online test engine that runs in any browser. Pick the format that fits your routine for the H13-723 exam — or use all three together.
Huawei H13-723 Exam Overview:
| Certification Vendor: | Huawei |
|---|---|
| Exam Name: | HCIP-Big Data Developer V1.0 |
| Exam Number: | H13-723 |
| Real Exam Qty: | 60 |
| Exam Price: | USD 300 |
| Certificate Validity Period: | 3 years |
| Exam Format: | True/False, Multiple response, Scenario-based, Multiple choice |
| Passing Score: | 600/1000 |
| Exam Duration: | 90 minutes |
| Available Languages: | English, Chinese (may vary by location) |
| Related Certifications: | HCIP-Big Data Developer V2.0 HCIA-Big Data HCIP-Big Data Expert (HCIE-Big Data-Data Mining) |
| Sample Questions: |  |
| Exam Way: | Written exam at Pearson VUE test centers or online proctored delivery |
| Pre Condition: | No formal prerequisite, but recommended experience with Hadoop, Spark, Java/Python programming, and Big Data fundamentals |
| Official Syllabus URL: | https://e.huawei.com/en/talent/certification |
Huawei H13-723 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Application Development Overall Guide | 15% | - Big data scenario-based solutions - Big data concepts and architecture - Application development fundamentals |
| Topic 2: Big Data Real-time Retrieval Scenario-based Solution | 30% | - Real-time query optimization - Real-time retrieval solution components - Distributed database concepts (HBase, Elasticsearch, GES) |
| Topic 3: Big Data Offline Batch Processing Scenario-based Solution | 25% | - Spark SQL and data ingestion tools (Loader, Sqoop, Kettle) - Offline batch processing solutions - HDFS and Hive fundamentals |
| Topic 4: Big Data Real-time Stream Computing Scenario-based Solution | 30% | - Streaming use cases and configuration - Stream data ingestion and processing - Real-time stream processing frameworks (Flume, Kafka, Spark Streaming, Flink) |
Huawei HCIP-Big Data Developer V1.0 (H13-723) — Questions Candidates Actually Ask
The H13-723 exam, officially known as Huawei HCIP-Big Data Developer V1.0, is the Huawei test that leads to the Huawei Other Certification certification at the Professional (HCIP) level. Passing it validates the skills employers expect from a certified professional. It is also associated with related credentials such as HCIA-Big Data, HCIP-Big Data Developer V2.0, HCIP-Big Data Expert (HCIE-Big Data-Data Mining).
The H13-723 exam contains 60 questions, and you have 90 minutes to complete them. Work out your per-question pace before test day, and flag slow items instead of stalling on them — time pressure, not knowledge, sinks many first attempts. Timed mock exams in the Actual4Exams test engines are the most reliable way to build that rhythm.
The passing score for the H13-723 exam is 600/1000, and the official registration fee is USD 300. If you miss the mark, a retake means paying the full fee again, so book your seat only when you are ready. A practical benchmark: score consistently above the passing line on timed practice tests before scheduling the real exam.
No formal prerequisite, but recommended experience with Hadoop, Spark, Java/Python programming, and Big Data fundamentals
Entry requirements can change, so confirm the latest conditions on the official exam page: https://e.huawei.com/en/talent/certification.
Yes. A free PDF demo of the Huawei HCIP-Big Data Developer V1.0 questions is available, so you can check the question style and answer quality before you pay. Every purchase also includes 365 days of free updates, and if the product expires you can renew the update service at a 50% discount from your member zone.
If you take the corresponding H13-723 exam within 60 days of purchase and do not pass, you can apply for a full refund under the 100% Money Back Guarantee: submit a scan of your enrollment slip and your official Score Report (PDF) within 2 days of the exam date, and the claim is processed within 7 days. Attempts made within 3 days of purchase, downloads without an actual exam attempt, free materials, and expired orders are not eligible, and the candidate name must match the payer name. Prefer new material instead of a refund? You can exchange your purchase for two free products of equal value and keep the update service on your original product. As for delivery, the files are available for instant download and are also emailed to you within one minute of payment — if nothing arrives within 2 hours, contact customer service. There is no limit on how many computers you can install the product on.
The official Huawei HCIP-Big Data Developer V1.0 outline is organized into 4 domains. The first three are:
- Big Data Application Development Overall Guide — 15% of the exam
- Big Data Real-time Stream Computing Scenario-based Solution — 30% of the exam
- Big Data Offline Batch Processing Scenario-based Solution — 25% of the exam
See the complete exam topics section above for the full outline and the weighting of every domain.
Huawei HCIP-Big Data Developer V1.0 Sample Questions:
Question 1
When the HBase application is running, the application can write data while creating a table.
A. True
B. False
Question 2
There are scenarios where 500G of new data is generated by the online system every day, and these data need to be statistically summarized in dimensions such as days, weeks, and months.
Which table is suitable for Hive processing?
A. Tilt table, select the date in the tilt field, and the tilt value is random
B. Partition table, partition by day
C. Bucket table, according to talent
D. Partition + bucket table, partitioned by time, 2560 buckets per partition
Question 3
In FusionInsight HD, about Hive and Sparksql, which of the following descriptions are correct? (multiple choice)
A. Both can run on the MapReduce computing framework
B. Both can run on the Spark computing framework
C. Both can access data on HBase through the table field and HBase field mapping method
D. Both can provide SQL or SQL-like capabilities externally
Question 4
In Spark, which of the following is the operator that takes the intersection of the DataFrame?
A. dropDuplicates():DataFrame
B. join (right: DataFrame, join Exprs: Column): DataFrame
C. intersect (other: Data Fra me): Data Fra me
D. filter (condifionExpr: String): DataFrame
Question 5
In HBase application development, when the Rowkey range and distribution of a table are known, it is recommended to pre-divide regions. After calling the following code (fragment) to pre-divide a table into regions, this table will create several regions.
//Create a table of pre-partitioned regions
byte[][] splits=new byte[4][];
splits[0] = Bytes.toBytes("A");
splits[1] = Bytes.toBytes("H");
splits[2] = Bytes.toBytes("O");
splits[3] = Bytes.toBytes("U");
admin.createTable (htd, splits);
A. 4
B. 5
C. 6
D. 3
Solutions:
| Question 1 Answer: B | Question 2 Answer: B | Question 3 Answer: B,C,D | Question 4 Answer: C | Question 5 Answer: B |
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