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H13-723 Exam Success: Study Guide and Practice Questions
Huawei Certification Here - https://bit.ly/3wZCAnt - are all the necessary details to pass the H13-723 exam on your first attempt. Get rid of all your worries now and find the details regarding the syllabus, study guide, practice tests, books, and study materials in one place. Through the Huawei H13-723 certification preparation, you can become stronger on the syllabus domains, and getting the Huawei Certified ICT Professional - Big Data Developer certification gets easy.
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How to Earn the H13-723 Huawei Certified ICT Professional - Big Data Developer Certification on Your First Attempt? Earning the Huawei H13-723 certification is a dream for many candidates. But, the preparation journey feels difficult to many of them. Here we have gathered all the necessary details like the syllabus and essential H13-723 sample questions to get to the Huawei Certified ICT Professional - Big Data Developer certification on the first attempt.
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H13-723 HCIP-Big Data Developer Summary: Exam Name Huawei Certified ICT Professional - Big Data Developer Exam Code H13-723 Exam Price $300 (USD) Duration 90 mins Number of Questions 60 Passing Score 600/1000 Books / Training HCIP-Big Data Developer V2.0 Training Material Schedule Exam Pearson VUE Sample Questions Huawei HCIP-Big Data Developer Sample Questions Practice Exam Huawei H13-723 Certification Practice Exam
Let’s Explore the Huawei H13-723 Exam Syllabus in Detail: Topic Big Data Application Development Overall Guide
Details Weights - Mainstream big data technologies - Big data scenario-based solution 15% - Big data application development - Offline batch processing solution - Introduction, technical principles, parameter attributes, Big Data Scenario and important configurations of the offline batch based Solution - Real- processing framework, including data storage (HDFS), 25% Time Offline data warehouse (Hive), offline analysis tool Processing (SparkSQL), and data collection tools (Loader, Sqoop, and Kettle) - Offline batch processing cases - Real-time retrieval solution Big Data Scenario- Introduction, technical principles, parameter attributes, based Solution - Real- and important configurations of distributed databases, 30% Time Retrieval including HBase, Elasticsearch, and GES - Real-time retrieval cases - Real-time stream computing application solution - Introduction, technical principles, parameter attributes, Big Data Scenarioand important configurations of the real-time stream based Solution - Realcomputing components, including Flume, Kafka, Flink, 30% Time Stream SparkStreaming, and Redis Computing - Real-time stream processing configuration solution and success cases
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Experience the Actual Exam Structure with Huawei H13-723 Sample Questions: Before jumping into the actual exam, it is crucial to get familiar with the exam structure. For this purpose, we have designed real exam-like sample questions. Solving these questions is highly beneficial to getting an idea about the exam structure and question patterns. For more understanding of your preparation level, go through the H13-723 practice test questions. Find out the beneficial sample questions below -
Answers for 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
Answer: c
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
Answer: a
03. What type of data processing does MapReduce primarily support? a) Real-time processing b) Interactive processing c) Batch processing d) Stream processing
HCIP-Big Data Developer
Answer: c
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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
Answer: b
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
Answer: d
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
Answer: d
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
Answer: b
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
HCIP-Big Data Developer
Answer: d
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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
Answer: a
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
HCIP-Big Data Developer
Answer: b
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