Getting knowledge of the Huawei H13-723 exam structure and question format is vital in preparing for the Huawei Certified ICT Professional - Big Data Developer certification exam. Our Huawei HCIP-Big Data Developer sample questions offer you information regarding the question types and level of difficulty you will face in the real exam. The benefit of using these Huawei H13-723 sample questions is that you will get to check your preparation level or enhance your knowledge by learning the unknown questions. You will also get a clear idea of the exam environment and exam pattern you will face in the actual exam with the Huawei Certified ICT Professional - Big Data Developer Sample Practice Test. Therefore, solve the Huawei HCIP-Big Data Developer sample questions to stay one step forward in grabbing the Huawei Certified ICT Professional - Big Data Developer credential.
These Huawei H13-723 sample questions are simple and basic questions similar to the actual Huawei HCIP-Big Data Developer questions. If you want to evaluate your preparation level, we suggest taking our Huawei Certified ICT Professional - Big Data Developer Premium Practice Test. You might face difficulties while solving the real-exam-like questions. But, you can work hard and build your confidence on the syllabus topics through unlimited practice attempts.
Huawei H13-723 Sample Questions:
01. Why is data redundancy important in offline batch processing systems?
a) To facilitate real-time analytics
b) For creating interactive user interfaces
c) To ensure data reliability and fault tolerance
d) For encrypting sensitive data
02. In Big Data application development, what is the role of Apache Spark?
a) Real-time data processing
b) Static website hosting
c) Email server management
d) Network security enhancement
03. What type of data processing does MapReduce primarily support?
a) Real-time processing
b) Interactive processing
c) Batch processing
d) Stream processing
04. In real-time data retrieval, what is the purpose of load balancing?
a) To provide real-time analytics
b) To ensure data is evenly distributed across servers
c) To encrypt sensitive data
d) To create interactive data visualizations
05. What advantage does using a cloud-based platform offer in real-time data retrieval in Big Data?
a) Limited scalability
b) High-latency data processing
c) Enhanced data security only
d) Scalability and flexibility in resource allocation
06. Why is data caching important in real-time stream computing systems?
a) To enhance data security
b) For historical data analysis
c) For data visualization purposes
d) To improve data retrieval performance
07. Which challenge is commonly associated with real-time data retrieval?
a) High-latency
b) Scalability to handle large data volumes
c) Limited data variety
d) Simplified data processing
08. In Huawei's Big Data solutions, what role does Hadoop play?
a) Database management
b) Data visualization
c) Network security
d) Distributed data processing and storage
09. Which tool is used for distributed storage and processing of large data sets across clusters of computers?
a) Hadoop
b) Oracle DB
c) Microsoft Excel
d) Adobe Photoshop
10. Why is data governance important in Big Data application development?
a) For graphic design purposes
b) To manage and secure data effectively
c) For enhancing the speed of the network
d) To manage email servers
Answers:
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Question: 01 Answer: c |
Question: 02 Answer: a |
Question: 03 Answer: c |
Question: 04 Answer: b |
Question: 05 Answer: d |
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Question: 06 Answer: d |
Question: 07 Answer: b |
Question: 08 Answer: d |
Question: 09 Answer: a |
Question: 10 Answer: b |
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