This page was exported from Free valid test braindumps [ http://free.validbraindumps.com ] Export date:Sat Apr 5 7:20:09 2025 / +0000 GMT ___________________________________________________ Title: 2023 Realistic Verified Databricks-Certified-Professional-Data-Engineer exam dumps Q&As - Databricks-Certified-Professional-Data-Engineer Free Update [Q102-Q117] --------------------------------------------------- 2023 Realistic Verified Databricks-Certified-Professional-Data-Engineer exam dumps Q&As - Databricks-Certified-Professional-Data-Engineer Free Update Use Real Databricks-Certified-Professional-Data-Engineer Dumps - 100% Free Databricks-Certified-Professional-Data-Engineer Exam Dumps NEW QUESTION 102Create a sales database using the DBFS location ‘dbfs:/mnt/delta/databases/sales.db/’  CREATE DATABASE sales FORMAT DELTA LOCATION ‘dbfs:/mnt/delta/databases/sales.db/”  CREATE DATABASE sales USING LOCATION ‘dbfs:/mnt/delta/databases/sales.db/’  CREATE DATABASE sales LOCATION ‘dbfs:/mnt/delta/databases/sales.db/’  The sales database can only be created in Delta lake  CREATE DELTA DATABASE sales LOCATION ‘dbfs:/mnt/delta/databases/sales.db/’ ExplanationThe answer isCREATE DATABASE sales LOCATION ‘dbfs:/mnt/delta/databases/sales.db/’Note: with the introduction of the Unity catalog and three-layer namespace usage of SCHEMA and DATABASE is interchangeableNEW QUESTION 103Data engineering team has provided 10 queries and asked Data Analyst team to build a dashboard and refresh the data every day at 8 AM, identify the best approach to set up data refresh for this dashaboard?  Each query requires a separate task and setup 10 tasks under a single job to run at 8 AM to refresh the dashboard  The entire dashboard with 10 queries can be refreshed at once, single schedule needs to be set up to refresh at 8 AM.  Setup JOB with linear dependency to all load all 10 queries into a table so the dashboard can be refreshed at once.  A dashboard can only refresh one query at a time, 10 schedules to set up the refresh.  Use Incremental refresh to run at 8 AM every day. ExplanationThe answer is,The entire dashboard with 10 queries can be refreshed at once, single schedule needs to be set up to refresh at8 AM.Automatically refresh a dashboardA dashboard’s owner and users with the Can Edit permission can configure a dashboard to auto-matically refresh on a schedule. To automatically refresh a dashboard:* Click the Schedule button at the top right of the dashboard. The scheduling dialog appears.* Graphical user interface, text, application, email, Teams Description automatically generated* 2.In the Refresh every drop-down, select a period.* 3.In the SQL Warehouse drop-down, optionally select a SQL warehouse to use for all the queries.If you don’t select a warehouse, the queries execute on the last used SQL ware-house.* 4.Next to Subscribers, optionally enter a list of email addresses to notify when the dashboard is automatically updated.* Each email address you enter must be associated with a Azure Databricks account or con-figured as an alert destination.* 5.Click Save. The Schedule button label changes to Scheduled.NEW QUESTION 104How do you check the location of an existing schema in Delta Lake?  Run SQL command SHOW LOCATION schema_name  Check unity catalog UI  Use Data explorer  Run SQL command DESCRIBE SCHEMA EXTENDED schema_nameE Schemas are internally in-store external hive meta stores like MySQL or SQL Server ExplanationHere is an example of how it looksGraphical user interface, text, application, email Description automatically generatedNEW QUESTION 105A data analyst has provided a data engineering team with the following Spark SQL query:1.SELECT district,2.avg(sales)3.FROM store_sales_202201014.GROUP BY district;The data analyst would like the data engineering team to run this query every day. The date at the end of thetable name (20220101) should automatically be replaced with the current date each time the query is run.Which of the following approaches could be used by the data engineering team to efficiently auto-mate thisprocess?  They could wrap the query using PySpark and use Python’s string variable system to automaticallyupdate the table name  They could request that the data analyst rewrites the query to be run less frequently  They could pass the table into PySpark and develop a robustly tested module on the existing query  They could replace the string-formatted date in the table with a timestamp-formatted date  They could manually replace the date within the table name with the current day’s date NEW QUESTION 106How does a Delta Lake differ from a traditional data lake?  Delta lake is Datawarehouse service on top of data lake that can provide reliability, se-curity, and performance  Delta lake is a caching layer on top of data lake that can provide reliability, security, and performance  Delta lake is an open storage format like parquet with additional capabilities that can provide reliability, security, and performance  Delta lake is an open storage format designed to replace flat files with additional capa-bilities that can provide reliability, security, and performance  Delta lake is proprietary software designed by Databricks that can provide reliability, security, and performance ExplanationAnswer is, Delta lake is an open storage format like parquet with additional capabilities that can provide reliability, security, and performance Delta lake is* Open source* Builds up on standard data format* Optimized for cloud object storage* Built for scalable metadata handlingDelta lake is not* Proprietary technology* Storage format* Storage medium* Database service or data warehouseNEW QUESTION 107What is the probability that the total of two dice will be greater than 8, given that the first die is a 6?  1/3  2/3  1/6  2/6 NEW QUESTION 108In order to use Unity catalog features, which of the following steps needs to be taken on man-aged/external tables in the Databricks workspace?  Enable unity catalog feature in workspace settings  Migrate/upgrade objects in workspace managed/external tables/view to unity catalog  Upgrade to DBR version 15.0  Copy data from workspace to unity catalog  Upgrade workspace to Unity catalog ExplanationUpgrade tables and views to Unity Catalog – Azure Databricks | Microsoft Docs Managed table: Upgrade a managed to Unity Catalog External table: Upgrade an external table to Unity CatalogNEW QUESTION 109Which of the following statements describes Delta Lake?  Delta Lake is an open source platform to help manage the complete machine learning lifecycle  Delta Lake is an open format storage layer that delivers reliability, security, and per-formance  Delta Lake is an open source data storage format for distributed data  Delta Lake is an open source analytics engine used for big data workloads  Delta Lake is an open format storage layer that processes data ExplanationDelta LakeNEW QUESTION 110What is the main difference between the silver layer and the gold layer in medalion architecture?  Silver may contain aggregated data  Gold may contain aggregated data  Data quality checks are applied in gold  Silver is a copy of bronze data  God is a copy of silver data ExplanationMedallion Architecture – DatabricksExam focus: Please review the below image and understand the role of each layer(bronze, silver, gold) in medallion architecture, you will see varying questions targeting each layer and its purpose.Sorry I had to add the watermark some people in Udemy are copying my content.A diagram of a house Description automatically generated with low confidenceNEW QUESTION 111You are asked to setup an AUTO LOADER to process the incoming data, this data arrives in JSON format and get dropped into cloud object storage and you are required to process the data as soon as it arrives in cloud storage, which of the following statements is correct  AUTO LOADER is native to DELTA lake it cannot support external cloud object storage  AUTO LOADER has to be triggered from an external process when the file arrives in the cloud storage  AUTO LOADER needs to be converted to a Structured stream process  AUTO LOADER can only process continuous data when stored in DELTA lake  AUTO LOADER can support file notification method so it can process data as it arrives ExplanationAuto Loader supports two modes when ingesting new files from cloud object storage Directory listing: Auto Loader identifies new files by listing the input directory, and uses a directory polling approach.File notification: Auto Loader can automatically set up a notification service and queue service that subscribe to file events from the input directory.Diagram Description automatically generatedFile notification is more efficient and can be used to process the data in real-time as data arrives in cloud object storage.Choosing between file notification and directory listing modes | Databricks on AWSNEW QUESTION 112You are working on IOT data where each device has 5 reading in an array collected in Celsius, you were asked to covert each individual reading from Celsius to Fahrenheit, fill in the blank with an appropriate function that can be used in this scenario.Schema: deviceId INT, deviceTemp ARRAY<double>SELECT deviceId, __(deviceTempC,i-> (i * 9/5) + 32) as deviceTempFFROM sensors  APPLY  MULTIPLY  ARRAYEXPR  TRANSFORM  FORALL ExplanationTRANSFORM -> Transforms elements in an array in expr using the function func.1.transform(expr, func)NEW QUESTION 113What is the purpose of the silver layer in a Multi hop architecture?  Replaces a traditional data lake  Efficient storage and querying of full, unprocessed history of data  Eliminates duplicate data, quarantines bad data  Refined views with aggregated data  Optimized query performance for business-critical data ExplanationMedallion Architecture – DatabricksSilver Layer:1. Reduces data storage complexity, latency, and redundency2. Optimizes ETL throughput and analytic query performance3. Preserves grain of original data (without aggregation)4. Eliminates duplicate records5. production schema enforced6. Data quality checks, quarantine corrupt dataExam focus: Please review the below image and understand the role of each layer(bronze, silver, gold) in medallion architecture, you will see varying questions targeting each layer and its purpose.Sorry I had to add the watermark some people in Udemy are copying my content.A diagram of a house Description automatically generated with low confidenceNEW QUESTION 114Which of the following approaches can the data engineer use to obtain a version-controllable con-figuration of the Job’s schedule and configuration?  They can link the Job to notebooks that are a part of a Databricks Repo.  They can submit the Job once on a Job cluster.  They can download the JSON equivalent of the job from the Job’s page.  They can submit the Job once on an all-purpose cluster.  They can download the XML description of the Job from the Job’s page NEW QUESTION 115You currently working with the marketing team to setup a dashboard for ad campaign analysis, since the team is not sure how often the dashboard should be refreshed they have decided to do a manual refresh on an as needed basis. Which of the following steps can be taken to reduce the overall cost of the compute when the team is not using the compute?*Please note that Databricks recently change the name of SQL Endpoint to SQL Warehouses.  They can turn on the Serverless feature for the SQL endpoint(SQL Warehouse).  They can decrease the maximum bound of the SQL endpoint(SQL Warehouse) scaling range.  They can decrease the cluster size of the SQL endpoint(SQL Warehouse).  They can turn on the Auto Stop feature for the SQL endpoint(SQL Warehouse).  They can turn on the Serverless feature for the SQL endpoint(SQL Warehouse) and change the Spot Instance Policy from “Reliability Optimized” to “Cost optimized” ExplanationThe answer is, They can turn on the Auto Stop feature for the SQL endpoint(SQL Warehouse).Use auto stop to automatically terminate the cluster when you are not using it.NEW QUESTION 116Which of the below commands can be used to drop a DELTA table?  DROP DELTA table_name  DROP TABLE table_name  DROP TABLE table_name FORMAT DELTA  DROP table_name NEW QUESTION 117Suppose there are three events then which formula must always be equal to P(E1|E2,E3)?  P(E1,E2,E3)P(E1)/P(E2:E3)  P(E1,E2;E3)/P(E2,E3)  P(E1,E2|E3)P(E2|E3)P(E3)  P(E1,E2|E3)P(E3)  P(E1,E2,E3)P(E2)P(E3) ExplanationThis is an application of conditional probability: P(E1,E2)=P(E1|E2)P(E2). soP(E1|E2) = P(E1.E2)/P(E2)P(E1,E2,E3)/P(E2,E3)If the events are A and B respectively, this is said to be “the probability of A given B”It is commonly denoted by P(A|B):or sometimes PB(A). In case that both “A” and “B” are categoricalvariables, conditional probability table is typically used to represent the conditional probability. Loading … Pass Databricks-Certified-Professional-Data-Engineer exam Updated 220 Questions: https://www.validbraindumps.com/Databricks-Certified-Professional-Data-Engineer-exam-prep.html --------------------------------------------------- Images: https://free.validbraindumps.com/wp-content/plugins/watu/loading.gif https://free.validbraindumps.com/wp-content/plugins/watu/loading.gif --------------------------------------------------- --------------------------------------------------- Post date: 2023-04-02 14:59:16 Post date GMT: 2023-04-02 14:59:16 Post modified date: 2023-04-02 14:59:16 Post modified date GMT: 2023-04-02 14:59:16