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It is a lifetime study time. The society advocates us to further our study and improve working skills at every aspect. For exam candidates like you it is of great importance to pass the Huawei exams effectively. That is why we offer you the excellent H13-723 learning materials: HCIP-Big Data Developer V1.0 compiled by professional experts. Now, let us take a comprehensive look of the features of the H13-723 actual lab questions as follow:
Huawei H13-723 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Real-time Stream Computing Scenario-based Solution | 30% | - Real-time stream computing solution - Stream processing components: Flume, Kafka, Flink, SparkStreaming, Redis |
| Topic 2: Big Data Real-time Retrieval Scenario-based Solution | 30% | - Real-time retrieval solution - Distributed databases: HBase, Elasticsearch, GES |
| Topic 3: Big Data Application Development Overall Guide | 15% | - Big data application development - Big data scenario-based solution - Mainstream big data technologies |
| Topic 4: Big Data Offline Batch Processing Scenario-based Solution | 25% | - Data storage and warehouse: HDFS, Hive - Offline analysis tools: SparkSQL, Loader, Sqoop, Kettle - Offline batch processing solution |
Huawei HCIP-Big Data Developer V1.0 Sample Questions:
1. To create a table through HBase's createTable method, what parameters must be passed in?
A) Table name and column family
B) Table name
C) Can be empty
D) Table names and columns
2. In a FusionInsight HD cluster, Flume does not support writing collected data to which service in the cluster?
A) HBase
B) HDFS
C) Kafka
D) Redis
3. When the cluster is normal, the Redis client initiates a get call, and there are () message interactions between the client and the server?
A) 1
B) 2
C) 4
D) 3
4. In HDFS application development, which of the following are the interfaces supported by the HDFS service? (multiple choice)
A) BufferedOutputStream.write
B) FileSystem.create
C) BufferedOutputStream.flush
D) FileSystem.append
5. For Spark Streaming applications, in a JVM, only one StreamingContext can be active at the same time.
A) False
B) True
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: A,B,C,D | Question # 5 Answer: B |
