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    <title>topic Re: DLT Pipeline Setup: What Must Be Specified ? in Certifications</title>
    <link>https://community.databricks.com/t5/certifications/dlt-pipeline-setup-what-must-be-specified/m-p/123224#M3144</link>
    <description>&lt;P&gt;Actually, the correct answer would be D. This is often mistakened. You need to identify a target database (default schema to be read/written/published to) in order to create the pipeline. Databricks will create a blank notebook for you that you will need to add logic into later. I've attached a screenshot from my work environment. I'm in Databricks daily. The key is to pay attention to what the question is actually asking. Now, a blank notebook will not do you any good, but that's not what the question is asking.&lt;BR /&gt;&lt;BR /&gt;I marked up the screenshot as a reference to help you out.&lt;/P&gt;</description>
    <pubDate>Sun, 29 Jun 2025 22:38:09 GMT</pubDate>
    <dc:creator>tootru2breal</dc:creator>
    <dc:date>2025-06-29T22:38:09Z</dc:date>
    <item>
      <title>DLT Pipeline Setup: What Must Be Specified ?</title>
      <link>https://community.databricks.com/t5/certifications/dlt-pipeline-setup-what-must-be-specified/m-p/122672#M3109</link>
      <description>&lt;P&gt;Hi all,&lt;BR /&gt;I'm preparing for the Databricks Data Engineer Associate exam and came across this question:&lt;/P&gt;&lt;BLOCKQUOTE&gt;&lt;P&gt;&lt;STRONG&gt;Which of the following must be specified when creating a new Delta Live Tables pipeline?&lt;/STRONG&gt;&lt;BR /&gt;A. A key-value pair configuration&lt;BR /&gt;B. At least one notebook library to be executed&lt;BR /&gt;C. A path to cloud storage location for the written data&lt;BR /&gt;D. A location of a target database for the written data&lt;/P&gt;&lt;/BLOCKQUOTE&gt;&lt;P&gt;From what I understand, some options like cloud storage paths and database names may be optional or inferred. I’d appreciate any clarification from the community or Databricks team on which of these is truly &lt;STRONG&gt;mandatory&lt;/STRONG&gt; during pipeline creation.&lt;/P&gt;&lt;P&gt;Thanks in advance!&lt;/P&gt;</description>
      <pubDate>Tue, 24 Jun 2025 11:47:36 GMT</pubDate>
      <guid>https://community.databricks.com/t5/certifications/dlt-pipeline-setup-what-must-be-specified/m-p/122672#M3109</guid>
      <dc:creator>sunnyj</dc:creator>
      <dc:date>2025-06-24T11:47:36Z</dc:date>
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    <item>
      <title>Re: DLT Pipeline Setup: What Must Be Specified ?</title>
      <link>https://community.databricks.com/t5/certifications/dlt-pipeline-setup-what-must-be-specified/m-p/122679#M3113</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/171367"&gt;@sunnyj&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;&lt;P&gt;The one thing we must specify while creating a new Delta Live Tables pipeline is at least one notebook (or SQL/Python file) with our DLT logic (like @dlt.table or CREATE LIVE TABLE statements). That’s the main part of our ETL, and the pipeline won’t work without it.&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Key-value configs are optional; it's only needed if we want to customize Spark settings.&lt;/LI&gt;&lt;LI&gt;Storage path can be left empty; Databricks will auto-generate a default.&lt;/LI&gt;&lt;LI&gt;We can set the target database in the code itself or later from the UI or JSON.&lt;/LI&gt;&lt;/UL&gt;</description>
      <pubDate>Tue, 24 Jun 2025 12:19:58 GMT</pubDate>
      <guid>https://community.databricks.com/t5/certifications/dlt-pipeline-setup-what-must-be-specified/m-p/122679#M3113</guid>
      <dc:creator>SP_6721</dc:creator>
      <dc:date>2025-06-24T12:19:58Z</dc:date>
    </item>
    <item>
      <title>Re: DLT Pipeline Setup: What Must Be Specified ?</title>
      <link>https://community.databricks.com/t5/certifications/dlt-pipeline-setup-what-must-be-specified/m-p/123224#M3144</link>
      <description>&lt;P&gt;Actually, the correct answer would be D. This is often mistakened. You need to identify a target database (default schema to be read/written/published to) in order to create the pipeline. Databricks will create a blank notebook for you that you will need to add logic into later. I've attached a screenshot from my work environment. I'm in Databricks daily. The key is to pay attention to what the question is actually asking. Now, a blank notebook will not do you any good, but that's not what the question is asking.&lt;BR /&gt;&lt;BR /&gt;I marked up the screenshot as a reference to help you out.&lt;/P&gt;</description>
      <pubDate>Sun, 29 Jun 2025 22:38:09 GMT</pubDate>
      <guid>https://community.databricks.com/t5/certifications/dlt-pipeline-setup-what-must-be-specified/m-p/123224#M3144</guid>
      <dc:creator>tootru2breal</dc:creator>
      <dc:date>2025-06-29T22:38:09Z</dc:date>
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