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Databricks Databricks-Certified-Data-Analyst-Associate日本語 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Databricks SQL: This topic discusses key and side audiences, users, Databricks SQL benefits, complementing a basic Databricks SQL query, schema browser, Databricks SQL dashboards, and the purpose of Databricks SQL endpoints
  • warehouses. Furthermore, the delves into Serverless Databricks SQL endpoint
  • warehouses, trade-off between cluster size and cost for Databricks SQL endpoints
  • warehouses, and Partner Connect. Lastly it discusses small-file upload, connecting Databricks SQL to visualization tools, the medallion architecture, the gold layer, and the benefits of working with streaming data.
Topic 2
  • Data Management: The topic describes Delta Lake as a tool for managing data files, Delta Lake manages table metadata, benefits of Delta Lake within the Lakehouse, tables on Databricks, a table owner’s responsibilities, and the persistence of data. It also identifies management of a table, usage of Data Explorer by a table owner, and organization-specific considerations of PII data. Lastly, the topic it explains how the LOCATION keyword changes, usage of Data Explorer to secure data.
Topic 3
  • Analytics applications: It describes key moments of statistical distributions, data enhancement, and the blending of data between two source applications. Moroever, the topic also explains last-mile ETL, a scenario in which data blending would be beneficial, key statistical measures, descriptive statistics, and discrete and continuous statistics.
Topic 4
  • SQL in the Lakehouse: It identifies a query that retrieves data from the database, the output of a SELECT query, a benefit of having ANSI SQL, access, and clean silver-level data. It also compares and contrasts MERGE INTO, INSERT TABLE, and COPY INTO. Lastly, this topic focuses on creating and applying UDFs in common scaling scenarios.
Topic 5
  • Data Visualization and Dashboarding: Sub-topics of this topic are about of describing how notifications are sent, how to configure and troubleshoot a basic alert, how to configure a refresh schedule, the pros and cons of sharing dashboards, how query parameters change the output, and how to change the colors of all of the visualizations. It also discusses customized data visualizations, visualization formatting, Query Based Dropdown List, and the method for sharing a dashboard.

Reference: https://www.databricks.com/learn/certification/data-analyst-associate

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Databricks Certified Data Analyst Associate Exam (Databricks-Certified-Data-Analyst-Associate日本語版) Sample Questions:

Question #1

メダリオン アーキテクチャの次のレイヤーのうち、データ アナリストが最もよく使用するレイヤーはどれですか。

  • A. シルバー
  • B. これらのレイヤーはいずれもデータアナリストによって使用されません
  • C. ブロンズ
  • D. ゴールド
  • E. これらのレイヤーはすべてデータアナリストによって平等に使用されます
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for Exam-Killer members. You can sign-up / login (it's free).

Question #2

Databricks SQL のコンピューティング リソースとして何が使用されますか?

  • A. Databricks SQL と統合されたダウンストリーム BI ツール
  • B. SQLウェアハウス
  • C. 標準クラスター
  • D. 単一ノードクラスタ
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for Exam-Killer members. You can sign-up / login (it's free).

Question #3

データアナリストがテーブル「my_table」を削除しようとしています。アナリストはテーブル内のすべてのメタデータとデータを削除したいと考えています。
次のコマンドを実行します。
my_table が存在する場合はテーブルを削除します。
SHOW TABLES を実行してもオブジェクトは表示されなくなりますが、データ ファイルは引き続き存在します。
データ ファイルがまだ存在し、メタデータ ファイルが削除された理由を説明するのは次のうちどれですか。

  • A. テーブルは外部でした
  • B. テーブルは管理されました
  • C. テーブルに場所がありませんでした
  • D. テーブルのデータが10 GBを超えています
  • E. テーブルのデータが10 GB未満でした
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #4

標準 SQL 方言として ANSI SQL を使用する Databricks SQL の利点は次のどれですか。

  • A. Photonの計算最適化を利用できるようになります
  • B. Sparkのインタープリタとの互換性が高い
  • C. 他のSQL方言よりもパフォーマンスが優れています
  • D. 既存のSQLクエリをDatabricks SQLに移行するのは簡単です
  • E. カスタマイズ能力が向上しました
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for Exam-Killer members. You can sign-up / login (it's free).

Question #5

データアナリストが個人情報 (PII) データを扱う際に考慮すべき事項は次のどれですか?

  • A. これらの考慮事項のいずれも
  • B. これらすべての考慮事項
  • C. Pllデータに関する組織固有のベストプラクティス
  • D. 分析が実行される地域の法的要件
  • E. データが収集された地域の法的要件
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for Exam-Killer members. You can sign-up / login (it's free).

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