Huawei H13-723-ENU 試験概要:
| 認定ベンダー: | Huawei |
| 試験名: | HCIP-Big Data Developer V1.0 |
| 試験番号: | H13-723 |
| 認定の有効期間: | 3 years |
| 合格点: | 600/1000 |
| 出題数: | 60 |
| 関連資格: | HCIA-Big Data HCIP-Big Data Developer V2.0 HCIP-Big Data Expert (HCIE-Big Data-Data Mining) |
| 試験時間: | 90 minutes |
| 対応言語: | English, Chinese (may vary by location) |
| 受験料: | USD 300 |
| 試験形式: | Multiple choice, Multiple response, True/False, Scenario-based |
| サンプル問題: | Huawei H13-723-ENU サンプル問題 |
| 受験方法: | Written exam at Pearson VUE test centers or online proctored delivery |
| 前提条件: | No formal prerequisite, but recommended experience with Hadoop, Spark, Java/Python programming, and Big Data fundamentals |
| 公式シラバスのURL: | https://e.huawei.com/en/talent/certification |
Huawei H13-723-ENU 試験シラバストピック:
| セクション | 比重 | 目標 |
|---|---|---|
| Big Data Application Development Overall Guide | 15% | - Big data concepts and architecture - Application development fundamentals - Big data scenario-based solutions |
| Big Data Real-time Stream Computing Scenario-based Solution | 30% | - Streaming use cases and configuration - Stream data ingestion and processing - Real-time stream processing frameworks (Flume, Kafka, Spark Streaming, Flink) |
| Big Data Real-time Retrieval Scenario-based Solution | 30% | - Distributed database concepts (HBase, Elasticsearch, GES) - Real-time retrieval solution components - Real-time query optimization |
| Big Data Offline Batch Processing Scenario-based Solution | 25% | - HDFS and Hive fundamentals - Spark SQL and data ingestion tools (Loader, Sqoop, Kettle) - Offline batch processing solutions |
Huawei HCIP-Big Data Developer 認定 H13-723-ENU 試験問題:
1. What are the features of Streaming in FusionInsight HD? (multiple choice)
A) High performance
B) Stream processing
C) High fault tolerance
D) Scalable
2. In HBase application development, when the Rowkey range and distribution of a table are known, it is recommended to pre-divide regions. After calling the following code (fragment) to pre-divide a table into regions, this table will create several regions.
//Create a table of pre-partitioned regions
byte[][] splits=new byte[4][];
splits[0] = Bytes.toBytes("A");
splits[1] = Bytes.toBytes("H");
splits[2] = Bytes.toBytes("O");
splits[3] = Bytes.toBytes("U");
admin.createTable (htd, splits);
A) 4
B) 6
C) 5
D) 3
3. Which of the following business applications is not suitable for Hive?
A) Real-time online data analysis
B) Data mining (user behavior analysis, interest division, regional display)
C) Data summary (number of user clicks per day/week, click ranking)
D) Non-real-time analysis (log analysis, statistical analysis)
4. Use FusionInsight HD's Hive to query data. When the amount of intermediate result data to be queried is large, you can choose to compress the intermediate result data to obtain better performance.
Which of the following are the relevant parameters for Hive intermediate result compression? (multiple choice)
A) hive.intermediate.compression.codec
B) hive.intermediate.compression.type
C) hive.exec.compress.intermediate
D) hive.exec.compress.output
5. In FusionInsight HD, which of the following source types does Flume support? (multiple choice)
A) Avro
B) HBase
C) Kafka
D) HTTP
質問と回答:
| 質問 # 1 正解: A、B、C、D | 質問 # 2 正解: C | 質問 # 3 正解: A | 質問 # 4 正解: A、B、C | 質問 # 5 正解: A、C、D |














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