Snowflake DAA-C01 Certification Exam Sample Questions

DAA-C01 Braindumps, DAA-C01 Exam Dumps, DAA-C01 Examcollection, DAA-C01 Questions PDF, DAA-C01 Sample Questions, SnowPro Advanced - Data Analyst Dumps, SnowPro Advanced - Data Analyst Official Cert Guide PDF, SnowPro Advanced - Data Analyst VCEWe have prepared Snowflake SnowPro Advanced - Data Analyst (DAA-C01) certification sample questions to make you aware of actual exam properties. This sample question set provides you with information about the SnowPro Advanced - Data Analyst exam pattern, question formate, a difficulty level of questions and time required to answer each question. To get familiar with Snowflake Certified SnowPro Advanced - Data Analyst exam, we suggest you try our Sample Snowflake DAA-C01 Certification Practice Exam in simulated Snowflake certification exam environment.

To test your knowledge and understanding of concepts with real-time scenario based Snowflake DAA-C01 questions, we strongly recommend you to prepare and practice with Premium Snowflake SnowPro Advanced - Data Analyst Certification Practice Exam. The premium Snowflake SnowPro Advanced - Data Analyst certification practice exam helps you identify topics in which you are well prepared and topics in which you may need further training to achieving great score in actual Snowflake Certified SnowPro Advanced - Data Analyst exam.

Snowflake DAA-C01 Sample Questions:

01. When planning for data volume collection, what is an important consideration to ensure scalability and performance?
a) The physical location of data
b) The types of data visualization tools used
c) The data processing capabilities
d) The expected growth rate of data
02. Configuring subscriptions and updates in a dashboard tool primarily helps in:
a) Changing the dashboard layout
b) Reducing the size of the data
c) Ensuring users receive the latest data
d) Enhancing the security of the data
03. What is a critical consideration when using data shares in Snowflake to join data with existing datasets?
a) Ensuring data schema compatibility
b) The number of likes on the Snowflake’s social media page
c) The visual appeal of the data
d) The brand of the data visualization tool
04. A key aspect of performing exploratory ad-hoc analyses is:
a) Following a strict data model
b) Relying solely on predefined hypotheses
c) Flexibility in querying and data exploration
d) Limiting data sources
05. Which approach is most suitable for making data-driven predictions?
a) Basic SQL queries
b) Using built-in SQL functions for statistical analysis
c) Relying on external data sources only
d) Ignoring historical data trends
06. Why is the Parquet format preferred for complex data sets?
a) It has visually appealing data presentation
b) It supports efficient compression and encoding schemes
c) It randomly alters data for testing
d) It changes data colors for differentiation
07. Data clustering is an example of which type of data analysis technique?
a) Descriptive analysis
b) Predictive analysis
c) Prescriptive analysis
d) Exploratory analysis
08. What are important factors to consider when creating tables and views in Snowflake?
(Choose three)
a) Data security and access controls
b) The color of the tables and views
c) Optimization for query performance
d) Documentation and metadata management
09. Which of the following is a key step in data preparation?
a) Data normalization
b) Model deployment
c) Algorithm selection
d) Visual analysis
10. Identifying demographics and relationships in a dataset is crucial for:
a) Data cleaning
b) Error handling
c) Data modeling
d) Database normalization


Question: 01
Answer: d
Question: 02
Answer: c
Question: 03
Answer: a
Question: 04
Answer: c
Question: 05
Answer: b
Question: 06
Answer: b
Question: 07
Answer: a
Question: 08
Answer: a, c, d
Question: 09
Answer: a
Question: 10
Answer: c

Note: Please update us by writing an email on for any error in Snowflake Certified SnowPro Advanced - Data Analyst certification exam sample questions

Your rating: None Rating: 5 / 5 (75 votes)