Getting knowledge of the Huawei H13-711 exam structure and question format is vital in preparing for the Huawei Certified ICT Associate - Big Data certification exam. Our Huawei HCIA-Big Data 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 H13-711 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 Associate - Big Data Sample Practice Test. Therefore, solve the Huawei HCIA-Big Data sample questions to stay one step forward in grabbing the Huawei Certified ICT Associate - Big Data credential.
These Huawei H13-711 sample questions are simple and basic questions similar to the actual Huawei HCIA-Big Data questions. If you want to evaluate your preparation level, we suggest taking our Huawei Certified ICT Associate - Big Data 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 H13-711 Sample Questions:
01. Big Data technologies are extensively used in which of the following fields?
(Choose two)
a) Traditional manufacturing
b) Healthcare analytics
c) Legacy banking systems
d) E-commerce
02. Which data structure is fundamental to Apache Spark's processing capabilities?
a) B-trees
b) Resilient Distributed Datasets (RDDs)
c) Hashmaps
d) Linked lists
03. Huawei DataArts Studio is commonly used in which scenarios?
a) High-volume transactional data processing
b) Complex event processing
c) In-memory computations
d) Interactive data visualization and analytics
04. What are the benefits of using HBase and Hive together in a big data environment?
a) HBase for real-time access and Hive for batch processing
b) Hive for data storage and HBase for analytics
c) HBase for SQL-like querying and Hive for high-speed data writing
d) Hive for real-time streaming and HBase for historical data analysis
05. In Kafka, what is the role of a Broker?
a) Data processing
b) Storing messages
c) Data aggregation
d) Log analysis
06. How can HBase and Hive be integrated for big data solutions?
(Choose two)
a) Hive can perform SQL-like queries on HBase tables
b) HBase can use Hive for real-time data processing
c) Hive can store its metadata in an HBase table
d) HBase can be used for storing Hive's query logs
07. What are ephemeral nodes in ZooKeeper?
a) Temporary nodes that exist as long as the session that created them
b) Permanent configuration nodes
c) Nodes used for storing large data
d) Nodes that handle all client requests
08. Which component in Elasticsearch is responsible for indexing and storing data?
a) Node
b) Cluster
c) Shard
d) Index
09. Who manages the process of data replication in HDFS?
a) The Client
b) The NameNode
c) ZooKeeper
d) DataNode
10. Why is Rack Awareness used in HDFS?
a) To reduce the need for data replication
b) To enhance data processing speed
c) To improve fault tolerance and data reliability
d) To optimize real-time data processing
Answers:
|
Question: 01 Answer: b, d |
Question: 02 Answer: b |
Question: 03 Answer: d |
Question: 04 Answer: a |
Question: 05 Answer: b |
|
Question: 06 Answer: a, c |
Question: 07 Answer: a |
Question: 08 Answer: c |
Question: 09 Answer: b |
Question: 10 Answer: c |
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