Databricks-Certified-Data-Engineer-Associate높은통과율시험덤프공부 - Databricks-Certified-Data-Engineer-Associate퍼펙트덤프자료

Databricks 인증 Databricks-Certified-Data-Engineer-Associate시험에 도전해보려고 결정하셨다면 KoreaDumps덤프공부가이드를추천해드립니다. KoreaDumps덤프는 고객님께서 필요한것이 무엇인지 너무나도 잘 알고 있답니다. KoreaDumps의 Databricks 인증 Databricks-Certified-Data-Engineer-Associate덤프는Databricks 인증 Databricks-Certified-Data-Engineer-Associate시험을 쉽게 만듭니다.

Databricks Certified Data Engineer Associate Exam은 데이터 엔지니어링과 관련된 데이터 수집, ETL(추출, 변환, 로드) 프로세스, 데이터 모델링 및 데이터 웨어하우징과 같은 다양한 주제를 다룹니다. 이 시험은 또한 Databricks Delta Lake와 Databricks Runtime과 같은 Databricks 특정 도구와 기술도 다루고 있습니다. 시험에 합격하기 위해서는 이러한 주제에 대한 깊은 이해와 그 지식을 실제 시나리오에 적용할 수 있는 능력이 필요합니다. 성공적인 후보자는 Databricks를 사용하여 신뢰성 있고 확장 가능하며 효율적인 데이터 파이프라인을 설계하고 구현할 수 있는 능력을 증명해야 합니다.

>> Databricks-Certified-Data-Engineer-Associate높은 통과율 시험덤프공부 <<

Databricks-Certified-Data-Engineer-Associate퍼펙트 덤프자료 - Databricks-Certified-Data-Engineer-Associate퍼펙트 인증공부자료

Databricks인증 Databricks-Certified-Data-Engineer-Associate시험에 도전하고 싶으시다면 최강 시험패스율로 유명한KoreaDumps의 Databricks인증 Databricks-Certified-Data-Engineer-Associate덤프로 시험공부를 해보세요. 시간절약은 물론이고 가격도 착해서 간단한 시험패스에 딱 좋은 선택입니다. Databricks 인증Databricks-Certified-Data-Engineer-Associate시험출제경향을 퍼펙트하게 연구하여KoreaDumps에서는Databricks 인증Databricks-Certified-Data-Engineer-Associate시험대비덤프를 출시하였습니다. KoreaDumps제품은 고객님의 IT자격증 취득의 앞길을 훤히 비추어드립니다.

최신 Databricks Certification Databricks-Certified-Data-Engineer-Associate 무료샘플문제 (Q98-Q103):

질문 # 98
A data engineer wants to schedule their Databricks SQL dashboard to refresh every hour, but they only want the associated SQL endpoint to be running when It is necessary. The dashboard has multiple queries on multiple datasets associated with it. The data that feeds the dashboard is automatically processed using a Databricks Job.
Which approach can the data engineer use to minimize the total running time of the SQL endpoint used in the refresh schedule of their dashboard?

A. Q They can turn on the Auto Stop feature for the SQL endpoint.
B. O They can reduce the cluster size of the SQL endpoint.
C. O They can set up the dashboard's SQL endpoint to be serverless.
D. 0 They can ensure the dashboard's SQL endpoint matches each of the queries' SQL endpoints.

정답：A

설명：
To minimize the total running time of the SQL endpoint used in the refresh schedule of a dashboard in Databricks, the most effective approach is to utilize the Auto Stop feature. This feature allows the SQL endpoint to automatically stop after a period of inactivity, ensuring that it only runs when necessary, such as during the dashboard refresh or when actively queried. This minimizes resource usage and associated costs by ensuring the SQL endpoint is not running idle outside of these operations.
Reference:
Databricks documentation on SQL endpoints: SQL Endpoints in Databricks

질문 # 99
Which of the following describes a scenario in which a data engineer will want to use a single-node cluster?

A. When they are working interactively with a small amount of data
B. When they are manually running reports with a large amount of data
C. When they are working with SQL within Databricks SQL
D. When they are concerned about the ability to automatically scale with larger data
E. When they are running automated reports to be refreshed as quickly as possible

정답：A

설명：
Explanation
A Single Node cluster is a cluster consisting of an Apache Spark driver and no Spark workers. A Single Node cluster supports Spark jobs and all Spark data sources, including Delta Lake. A Standard cluster requires a minimum of one Spark worker to run Spark jobs.

질문 # 100
Which of the following describes when to use the CREATE STREAMING LIVE TABLE (formerly CREATE INCREMENTAL LIVE TABLE) syntax over the CREATE LIVE TABLE syntax when creating Delta Live Tables (DLT) tables using SQL?

A. CREATE STREAMING LIVE TABLE is redundant for DLT and it does not need to be used.
B. CREATE STREAMING LIVE TABLE should be used when the subsequent step in the DLT pipeline is static.
C. CREATE STREAMING LIVE TABLE should be used when data needs to be processed through complicated aggregations.
D. CREATE STREAMING LIVE TABLE should be used when data needs to be processed incrementally.
E. CREATE STREAMING LIVE TABLE should be used when the previous step in the DLT pipeline is static.

정답：D

설명：
A streaming live table or view processes data that has been added only since the last pipeline update.
Streaming tables and views are stateful; if the defining query changes, new data will be processed based on the new query and existing data is not recomputed. This is useful when data needs to be processed incrementally, such as when ingesting streaming data sources or performing incremental loads from batch data sources. A live table or view, on the other hand, may be entirely computed when possible to optimize computation resources and time. This is suitable when data needs to be processed in full, such as when performing complex transformations or aggregations that require scanning all the data. References: Difference between LIVE TABLE and STREAMING LIVE TABLE, CREATE STREAMING TABLE, Load data using streaming tables in Databricks SQL.

질문 # 101
Which of the following Structured Streaming queries is performing a hop from a Silver table to a Gold table?

정답：B

질문 # 102
A data engineer is designing a data pipeline. The source system generates files in a shared directory that is also used by other processes. As a result, the files should be kept as is and will accumulate in the directory. The data engineer needs to identify which files are new since the previous run in the pipeline, and set up the pipeline to only ingest those new files with each run.
Which of the following tools can the data engineer use to solve this problem?

A. Data Explorer
B. Auto Loader
C. Unity Catalog
D. Delta Lake
E. Databricks SQL

정답：B

설명：
Auto Loader is a tool that can incrementally and efficiently process new data files as they arrive in cloud storage without any additional setup. Auto Loader provides a Structured Streaming source called cloudFiles, which automatically detects and processes new files in a given input directory path on the cloud file storage. Auto Loader also tracks the ingestion progress and ensures exactly-once semantics when writing data into Delta Lake. Auto Loader can ingest various file formats, such as JSON, CSV, XML, PARQUET, AVRO, ORC, TEXT, and BINARYFILE. Auto Loader has support for both Python and SQL in Delta Live Tables, which are a declarative way to build production-quality data pipelines with Databricks. Reference: What is Auto Loader?, Get started with Databricks Auto Loader, Auto Loader in Delta Live Tables

질문 # 103
......

거침없이 발전해나가는 IT업계에서 자신만의 자리를 동요하지 않고 단단히 지킬려면Databricks인증 Databricks-Certified-Data-Engineer-Associate시험은 무조건 패스해야 합니다. 하지만Databricks인증 Databricks-Certified-Data-Engineer-Associate시험패스는 하늘에 별따기 만큼 어렵습니다. 시험이 영어로 출제되어 공부자료 마련도 좀 힘든편입니다. 여러분들의 고민을 덜어드리기 위해KoreaDumps에서는Databricks인증 Databricks-Certified-Data-Engineer-Associate시험의 영어버전 실제문제를 연구하여 실제시험에 대비한 영어버전Databricks인증 Databricks-Certified-Data-Engineer-Associate덤프를 출시하였습니다.전문적인 시험대비자료이기에 다른 공부자료는 필요없이KoreaDumps에서 제공해드리는Databricks인증 Databricks-Certified-Data-Engineer-Associate영어버전덤프만 공부하시면 자격증을 딸수 있습니다.

Databricks-Certified-Data-Engineer-Associate퍼펙트 덤프자료: https://www.koreadumps.com/Databricks-Certified-Data-Engineer-Associate_exam-braindumps.html