Huawei HCIE-Big Data-Data Mining (H13-731) Certification Sample Questions

01. You need to perform L2 regularization (Ridge) on a LogisticRegression model in PySpark. How should you configure the elasticNetParam?
a) Set elasticNetParam = 1.0
b) Set elasticNetParam = 0.5
c) Set elasticNetParam = 0.0
d) Set elasticNetParam = -1.0

02. Which of the following are distinct advantages of using Huawei MRS ClickHouse compared to standard distributed databases?
(Select all that apply)
a) High-performance columnar storage and data compression.
b) Support for massive parallel processing (MPP).
c) Native support for complex recursive transactions (ACID).
d) Extremely fast real-time aggregation and analytical query response.

03. Before performing PCA, which preprocessing steps are highly recommended?
(Select all that apply)
a) Feature Scaling (Standardization).
b) Mean Centering (subtracting the mean).
c) One-Hot Encoding of high-cardinality strings.
d) Removing all outliers.

04. A data analyst needs to find where a specific "customer_id" column originated and which downstream reports it influences. Which DataArts Studio feature provides this visualization?
a) Data Standards
b) Data Service API
c) Data Lineage (within Data Map)
d) Data Masking

05. For which of the following datasets would DBSCAN be a better choice than K-Means?
a) A dataset with three perfectly spherical, well-separated clusters.
b) A dataset where clusters are shaped like concentric circles (rings).
c) A dataset where all features are binary (0 and 1).
d) A dataset where the number of clusters is known to be exactly four.

06. In a classification problem, the evaluation metric defined as the ratio of the number of correct predictions (both Positive and Negative) to the total number of input samples is: ______________
a) Precision
b) Recall
c) F1-Score
d) Accuracy

07. Given a transaction set of 100 baskets: 40 baskets contain Bread, 30 contain Butter, and 20 contain both. What is the Confidence of the rule {Bread} -> {Butter}?
a) 0.2
b) 0.5
c) 0.66
d) 0.3

08. During the Data Integration phase of a large-scale project in Huawei DataArts Studio, you identify two attributes, purchase_price and tax_amount, that have a Pearson correlation coefficient of 0.98. What is the most appropriate expert action to take?
a) Remove one of the features or combine them to mitigate redundancy and multicollinearity.
b) Keep both features to provide more data to the model.
c) Apply One-Hot Encoding to both features.
d) Increase the number of samples in the dataset to compensate for the correlation.

09. In a multi-class classification problem (e.g., classifying 10 different types of fruit), you use the "One-vs-Rest" (OvR) strategy. How many binary classifiers will be trained?
a) 1
b) 9
c) 10
d) 45

10. When performing Binning (Discretization), why might an expert choose "Equal Frequency" (Quantiles) over "Equal Width"?
a) Because it is computationally simpler.
b) To ensure the bins are easier for humans to interpret (e.g., 0-10, 10-20).
c) To ensure the bins have the same numerical range.
d) To handle skewed data where most values are clustered in a narrow range.