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Huawei H13-711-ENU Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Big Data Operation and Security | - Cluster Management
|
| Topic 2: Data Ingestion and Integration | - Data Collection Technologies
|
| Topic 3: Big Data Storage and Processing | - Distributed Computing
|
| Topic 4: Hadoop Ecosystem | - YARN
|
| Topic 5: Big Data Fundamentals | - Introduction to Big Data
|
Huawei HCIA-Big Data(Huawei Certified ICT Associate-Big Data) Sample Questions:
1. After the Loader job in Fusioninsight HD is submitted to YARN, the job cannot be stopped manually.
A) False
B) True
2. Which of the descriptions about ordinary tables and external tables in Hive is wrong?
A) The essence of the external table is to associate the file path already existing on HDFS with the table
B) When deleting a common table, metadata and data are deleted at the same time
C) Create ordinary tables by default
D) When deleting an external table, only delete the data of the external table without deleting the metadata
3. In the Fusioninsight HD system, HBase supports dynamic expansion of columns.
A) False
B) True
4. The fault-tolerant mechanism of Spark Streaming means that any partition error in RDD can be recalculated and generated according to its parent RDD. If the parent RDD is lost, you need to find the original data in the disk.
A) False
B) True
5. 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 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.
C) Carbon is also a high-performance analysis engine that integrates data sources with spark.
D) The purpose of using carbon is to provide ultra-fast response to big data ad hoc queries.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: A,B,C,D |

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