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Databricks-Certified-Data-Analyst-Associate테스트자료, Databricks-Certified-Data-Analyst-Associate시험문제
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>> Databricks-Certified-Data-Analyst-Associate테스트자료 <<
Databricks-Certified-Data-Analyst-Associate시험문제 & Databricks-Certified-Data-Analyst-Associate최신버전 시험덤프문제
Databricks인증Databricks-Certified-Data-Analyst-Associate시험에 도전해보려고 없는 시간도 짜내고 거금을 들여 학원을 선택하셨나요? 사실 IT인증시험은 보다 간단한 공부방식으로 준비하시면 시간도 돈도 정력도 적게 들일수 있습니다. 그 방법은 바로ExamPassdump의Databricks인증Databricks-Certified-Data-Analyst-Associate시험준비덤프자료를 구매하여 공부하는 것입니다. 문항수도 적고 시험예상문제만 톡톡 집어 정리된 덤프라 시험합격이 한결 쉬워집니다.
최신 Data Analyst Databricks-Certified-Data-Analyst-Associate 무료샘플문제 (Q56-Q61):
질문 # 56
A data analyst has a managed table table_name in database database_name. They would now like to remove the table from the database and all of the data files associated with the table. The rest of the tables in the database must continue to exist.
Which of the following commands can the analyst use to complete the task without producing an error?
- A. DELETE TABLE database_name.table_name;
- B. DROP DATABASE database_name;
- C. DELETE TABLE table_name FROM database_name;
- D. DROP TABLE table_name FROM database_name;
- E. DROP TABLE database_name.table_name;
정답：E
설명：
The DROP TABLE command removes a table from the metastore and deletes the associated data files. The syntax for this command is DROP TABLE [IF EXISTS] [database_name.]table_name;. The optional IF EXISTS clause prevents an error if the table does not exist. The optional database_name. prefix specifies the database where the table resides. If not specified, the current database is used. Therefore, the correct command to remove the table table_name from the database database_name and all of the data files associated with it is DROP TABLE database_name.table_name;. The other commands are either invalid syntax or would produce undesired results. Reference: Databricks - DROP TABLE
질문 # 57
A data analyst has created a Query in Databricks SQL, and now wants to create two data visualizations from that Query and add both of those data visualizations to the same Databricks SQL Dashboard.
Which step will the data analyst need to take when creating and adding both data visualizations to the Databricks SQL Dashboard?
- A. Alter the Query to return two separate sets of results.
- B. Add two separate visualizations to the dashboard based on the same Query.
- C. Decide on a single data visualization to add to the dashboard.
- D. Copy the Query and create one data visualization per query.
정답：B
질문 # 58
Which of the following is an advantage of using a Delta Lake-based data lakehouse over common data lake solutions?
- A. Scalable storage
- B. Open-source formats
- C. ACID transactions
- D. Flexible schemas
- E. Data deletion
정답：C
설명：
A Delta Lake-based data lakehouse is a data platform architecture that combines the scalability and flexibility of a data lake with the reliability and performance of a data warehouse. One of the key advantages of using a Delta Lake-based data lakehouse over common data lake solutions is that it supports ACID transactions, which ensure data integrity and consistency. ACID transactions enable concurrent reads and writes, schema enforcement and evolution, data versioning and rollback, and data quality checks. These features are not available in traditional data lakes, which rely on file-based storage systems that do not support transactions. Reference:
Delta Lake: Lakehouse, warehouse, advantages | Definition
Synapse - Data Lake vs. Delta Lake vs. Data Lakehouse
Data Lake vs. Delta Lake - A Detailed Comparison
Building a Data Lakehouse with Delta Lake Architecture: A Comprehensive Guide
질문 # 59
Which of the following statements describes descriptive statistics?
- A. A branch of statistics that uses quantitative variables that must take on a finite or countably infinite set of values.
- B. A branch of statistics that uses summary statistics to categorically describe and summarize data.
- C. A branch of statistics that uses summary statistics to quantitatively describe and summarize data.
- D. A branch of statistics that uses quantitative variables that must take on an uncountable set of values.
- E. A branch of statistics that uses a variety of data analysis techniques to infer properties of an underlying distribution of probability.
정답：C
설명：
Descriptive statistics is a branch of statistics that uses summary statistics, such as mean, median, mode, standard deviation, range, frequency, or correlation, to quantitatively describe and summarize data. Descriptive statistics can help data analysts understand the main features of a data set, such as its central tendency, variability, or distribution. Descriptive statistics can also help data analysts visualize data using charts, graphs, or tables. Descriptive statistics do not make any inferences or predictions about the data, unlike inferential statistics, which use data analysis techniques to infer properties of an underlying population or probability distribution from a sample of data. Reference: Databricks - Descriptive Statistics, Databricks - Data Analysis with Databricks SQL
질문 # 60
Which of the following statements about adding visual appeal to visualizations in the Visualization Editor is incorrect?
- A. Data Labels can be formatted.
- B. Tooltips can be formatted.
- C. Visualization scale can be changed.
- D. Borders can be added.
- E. Colors can be changed.
정답：D
설명：
The Visualization Editor in Databricks SQL allows users to create and customize various types of charts and visualizations from the query results. Users can change the visualization type, select the data fields, adjust the colors, format the data labels, and modify the tooltips. However, there is no option to add borders to the visualizations in the Visualization Editor. Borders are not a supported feature of the new chart visualizations in Databricks1. Therefore, the statement that borders can be added is incorrect. Reference:
New chart visualizations in Databricks | Databricks on AWS
질문 # 61
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