Failing H13-723 means paying the registration fee all over again, which makes thorough preparation the cheaper option. The Huawei HCIP-Big Data Developer V1.0 practice questions from LatestCram give you 155 chances to rehearse before the day that counts, so you can walk in ready the first time.
Huawei H13-723 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Real-time Stream Computing Scenario-based Solution | 30% | - Real-time stream computing solution - Stream processing components: Flume, Kafka, Flink, SparkStreaming, Redis |
| Topic 2: Big Data Offline Batch Processing Scenario-based Solution | 25% | - Data storage and warehouse: HDFS, Hive - Offline analysis tools: SparkSQL, Loader, Sqoop, Kettle - Offline batch processing solution |
| Topic 3: Big Data Real-time Retrieval Scenario-based Solution | 30% | - Distributed databases: HBase, Elasticsearch, GES - Real-time retrieval solution |
| Topic 4: Big Data Application Development Overall Guide | 15% | - Big data application development - Mainstream big data technologies - Big data scenario-based solution |
Frequently Asked Questions About Huawei HCIP-Big Data Developer V1.0
The H13-723 exam leads to the Huawei Other Certification certification, a Professional-level credential from Huawei. It validates the skills measured by the Huawei HCIP-Big Data Developer V1.0 syllabus and is a recognized step for IT professionals building their careers, and it sits alongside related credentials such as HCIA-Big Data, HCIP-Big Data Expert, HCIE-Big Data.
The Huawei HCIP-Big Data Developer V1.0 exam includes 60 questions and gives you 90 minutes to complete them. That works out to a fairly tight pace, so reading each question carefully but decisively matters more than perfectionism. If a question stalls you, flag it and move on; banking the easier points first keeps time pressure from snowballing near the end. Before test day, run at least one full timed session with the LatestCram practice test so the rhythm feels familiar rather than rushed.
You need 600/1000 to pass the H13-723 exam, and the official registration fee is 300 USD. Keep in mind that a failed attempt means paying the full fee again to retake the exam, so it pays to be honest with yourself before booking a seat. A practical benchmark: work through the 155 practice questions at LatestCram until you can score comfortably above the passing line in timed mode, then schedule your exam.
Basic understanding of big data fundamentals, Hadoop/Spark, Java or Python recommended Because Huawei may adjust its policies over time, we recommend confirming the latest requirements on the official exam page (official exam page) before you register.
Yes. LatestCram offers a free PDF demo of the Huawei HCIP-Big Data Developer V1.0 material, so you can review the question style and answer quality before making a decision. Every purchase also includes 365 days of free updates, and after that period you can extend your updates at a 50% discount, which keeps your preparation current through 2026 and beyond.
If you take the Huawei HCIP-Big Data Developer V1.0 exam within 60 days of your purchase and do not pass, LatestCram offers a full refund under its Money Back Guarantee. To apply, send a scanned copy of your exam enrollment slip together with your official Score Report in PDF format within 2 days of the exam date, and your claim will be processed within 7 days. The guarantee applies only to the corresponding exam: attempts made within 3 days of purchase, exams downloaded but never actually taken, free materials, and expired orders are not eligible, and the candidate name must match the purchaser name. If you would rather not take a refund, you can exchange your product for two additional exam preparation products of equal value and keep the update service on your original purchase. Delivery itself is instant: your product is available for download right after payment and is also sent to your email within one minute, and if it has not arrived within 2 hours, contact our support team. There is no limit on how many computers you can install it on.
The Huawei HCIP-Big Data Developer V1.0 syllabus is divided into 4 main domains, including Big Data Real-time Stream Computing Scenario-based Solution (30%), Big Data Offline Batch Processing Scenario-based Solution (25%), Big Data Real-time Retrieval Scenario-based Solution (30%). Each domain carries a different share of the total score, so knowing where the weight sits helps you allocate your study time wisely. You will find the complete, up-to-date outline in the Exam Topics section above.
Huawei HCIP-Big Data Developer V1.0 Sample Questions:
In Kafka, which statement about Consumer is correct? (multiple choice)
- A. The new ConsumerAPI consumption data does not need to specify the ZooKeeper address
- B. When multiple Consumers are configured with the same group.id, the data consumed by these Consumers will not be repeated
- C. Topic needs to be specified when Consumer consumes data
- D. Consumer mainly conducts data consumption
Correct Answer: A,B,C,D 🗳️
In FusionInsigt HD, an application deployed on Tomcat needs to access the HBase service. In this scenario, it is recommended to use a machine-to-machine account.
- A. True
- B. False
Correct Answer: A 🗳️
In Kafka, which of the following commands can check how many partitions a topic has?
- A. kafka-topics.sh --create
- B. kafka-topics.sh --alter
- C. kafka-topics.sh - describe
- D. kafka-topics.sh --list
Correct Answer: C 🗳️
If a user wants to develop an application to access the HBase service, he first applies for a machine-to-machine account teste1, and sets the permission to access the HBase service: then download the keytab file of the account and use the account to run the application. Subsequent business requirements for this application require access to the Hive service. After the tested user is granted access to the Hive component, the user's keytab file needs to be re-downloaded.
- A. True
- B. False
Correct Answer: B 🗳️
A certain project needs to save the online data in a certain area and search the full text whether there is any sensitive information in these online records to prevent crimes in the area.
In this scenario, which of the following is the best solution?
- A. When storing data, create an index on Solr and store the complete data in HBasx; when querying, obtain key information of records through Solr full-text search, and obtain complete records on HBase through key information.
- B. Create an index on Solr, save the data, and return all the data when searching the full text.
- C. Store data on HBase, and satisfy fuzzy matching queries through HBase's filtering features.
Correct Answer: A 🗳️
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