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Huawei H13-711-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
| Hadoop Distributed System | 20% | - YARN
- 1. Cluster Resource Management
- 2. Task Scheduling
- HDFS
- 1. HDFS Architecture
- 2. Data Storage Mechanism
- 3. Fault Tolerance
|
| Big Data Storage and Query | 20% | - Hive
- 1. HiveQL
- 2. Hive Architecture
- HBase
- 1. NoSQL Concepts
- 2. HBase Data Model
|
| Data Collection and Messaging | 15% | - Flume
- 1. Log Collection
- 2. Data Transmission
- Kafka
- 1. Kafka Architecture
- 2. Producer and Consumer
|
| MapReduce and Computing Framework | 15% | - Spark
- 1. Spark Core
- 2. Spark SQL
- 3. Spark Streaming
- MapReduce
- 1. MapReduce Processing Flow
- 2. Job Execution Mechanism
|
| Big Data Overview | 10% | - Big Data Concepts
- 1. Big Data Industry Trends
- 2. Big Data Characteristics
- 3. Big Data Application Scenarios
|
| Huawei Big Data Platform | 20% | - MRS
- 1. MapReduce Service
- 2. Cloud Big Data Solutions
- FusionInsight
- 1. Cluster O&M
- 2. Cluster Deployment
- 3. FusionInsight Components
|
Huawei HCIA-Big Data(Huawei Certified ICT Associate-Big Data) Sample Questions:
Question 1
Which of the following statements about the comparison between Sparkstreaming and Streaming is wrong?
A. SparkStreaming is a micro-batch processing framework, and events need to be processed when they are exhausted to a certain amount
B. The execution logic of Streaming is to start immediately and recycle after running
C. SparkStreaming event processing delay is higher than Streaming
D. The throughput of SparkStreaming is about 2-5 times that of Streaming
Question 2
Which of the following statements about CarbonData in Fusioninsight is correct? (Multiple choice)
A. carbon is a new Apache Hadoop native file format that uses advanced columnar storage, indexing, compression, and encoding technologies to improve computing efficiency, helping to accelerate data queries exceeding the order of magnitude of PB, and can be used for faster interactions Inquire.
B. Carbon is also a high-performance analysis engine that integrates data sources with spark.
C. The purpose of using carbon is to provide ultra-fast response to big data ad hoc queries.
D. Carbon uses a combination of lightweight compression and heavyweight compression to compress data, which can reduce data storage space by 60%-80%, greatly saving hardware storage costs.
Question 3
Which of the following description of Flink barrier is wrong?
A. barrier is the core of Flink snapshot
B. A barrier separates the data of this cycle snapshot from the data of the next cycle snapshot
C. When the barrier is inserted, the data flow will be temporarily blocked
D. The barrier is periodically inserted into the data stream and flows as part of the data stream
Question 4
Which of the following statements about the interaction between Flink and other components is correct? (Multiple choice)
A. The implementation of Flink's checkpoint depends on Zookeeper
B. Flink can send received components to Kafka
C. Flink reads and writes data in the HDFS file system
D. The operation of Flink tasks depends on YARN for resource scheduling management
Question 5
Which of the following options belong to the data storage model of Hive?
A. barrel
B. table
C. All above are correct
D. database
E. Partition
Solutions:
Question 1 Answer: B | Question 2 Answer: A,B,C,D | Question 3 Answer: C | Question 4 Answer: A,B,C,D | Question 5 Answer: C |