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| Certification Vendor: | Databricks |
|---|---|
| Exam Name: | Databricks Certified Data Analyst Associate Exam |
| Exam Number: | Databricks-Certified-Data-Analyst-Associate |
| Exam Price: | $200 USD |
| Exam Format: | Multiple-choice, Scenario-based questions |
| Real Exam Qty: | 45 |
| Exam Duration: | 90 minutes |
| Passing Score: | Approximately 70% (not officially disclosed) |
| Available Languages: | English |
| Certificate Validity Period: | 2 years |
| Recommended Training: | Databricks Academy - Data Analyst Associate Learning Path |
| Exam Registration: | Databricks Certification Portal |
| Sample Questions: | Databricks Databricks-Certified-Data-Analyst-Associate日本語 Sample Questions |
| Exam Way: | Online proctored or authorized test center |
| Pre Condition: | No mandatory prerequisites; recommended 6+ months hands-on experience in data analysis and SQL usage with Databricks |
| Official Syllabus URL: | https://www.databricks.com/learn/certification/data-analyst-associate |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Creating Dashboards and Visualizations in Databricks | 16% | - Visualization types and best practices - Filtering and interactivity - Scheduling and sharing dashboards - Dashboard creation and layout |
| Topic 2: Executing Queries using Databricks SQL and Databricks SQL Warehouses | 20% | - Joining and combining datasets - Warehouse configuration and performance - Creating and managing views - ANSI SQL syntax and functions - Aggregations and grouping |
| Topic 3: Understanding of Databricks Data Intelligence Platform | 11% | - Core architecture and components - Lakehouse platform fundamentals - Workspace navigation and interface |
| Topic 4: Developing, Sharing, and Maintaining AI/BI Genie Spaces | 12% | - Natural language query setup - Genie space setup and configuration - Access control and sharing - Maintenance and improvement |
| Topic 5: Data Modeling with Databricks SQL | 5% | - Schema design principles - Performance-oriented modeling - Delta table structure |
| Topic 6: Importing Data | 5% | - Delta Sharing - UI-based data ingestion - S3 and cloud storage integration - API and Auto Loader - Databricks Marketplace |
| Topic 7: Analyzing Queries | 15% | - Execution plans and analysis - Liquid clustering and indexing - Query history and auditing - Performance optimization |
| Topic 8: Securing Data | 8% | - Data governance policies - Access control and permissions - Secure storage and compliance |
| Topic 9: Managing Data | 8% | - Data cleaning and preparation - Dataset versioning and management - Unity Catalog usage - Discovering and registering datasets |
The Databricks-Certified-Data-Analyst-Associate日本語 exam (Databricks Certified Data Analyst Associate Exam (Databricks-Certified-Data-Analyst-Associate日本語版)) is the official Databricks exam that leads to the Databricks Certified Data Analyst Associate certification, a credential at the Associate level. Actual4test provides 118 practice questions to help you prepare for it with confidence.
The Databricks-Certified-Data-Analyst-Associate日本語 exam contains 45 questions and gives you 90 minutes to finish them. Before exam day, divide the total time by the question count so you know the pace you need to keep, and flag difficult items instead of getting stuck on them. Running at least one full timed session in the Actual4test test engine is the best way to make that time pressure feel familiar.
You need Approximately 70% (not officially disclosed) to pass, and the official registration fee is $200 USD. Keep in mind that a failed attempt means paying that fee in full again, so it pays to test yourself first. When your scores on the Actual4test timed practice tests stay consistently above the passing line, you are ready to book the exam.
No mandatory prerequisites; recommended 6+ months hands-on experience in data analysis and SQL usage with Databricks Requirements can change over time, so always double-check the latest eligibility rules before you register on the official Databricks exam page.
You can book your exam through the official registration channels:
The exam is delivered in the following way: Online proctored or authorized test center.
Databricks recommends the following training options for this exam:
Official courses build the foundation, and the 118 Databricks-Certified-Data-Analyst-Associate日本語 practice questions from Actual4test help you turn that knowledge into exam-day performance.
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The Databricks-Certified-Data-Analyst-Associate日本語 syllabus is organized into 9 exam domains. Among the first three are Data Modeling with Databricks SQL (5%), Securing Data (8%), Managing Data (8%). For the complete breakdown of topics and subtopics, see the Exam Topics section above.
Question 1
データアナリストは、開発、テスト、本番の3つの主要セクションを持つダッシュボードを作成したいと考えています。3つのセクションすべてを同じダッシュボードに表示したいのですが、ダッシュボード上のテキストでセクションを明確に区別したいと考えています。
データ アナリストがテキストを使用して開発、テスト、および本番のセクションを指定するために使用できるツールは次のどれですか。
A. Markdownベースのテキストボックス
B. 各セクションのエンドポイントを分離する
C. 各セクションごとにクエリを分ける
D. 各セクションに個別のカラーパレット
E. 編集モードでダッシュボードに直接書き込まれたテキスト
Question 2
データアナリストが、大規模なデータセットや複雑な結合操作を処理する際に失敗するDatabricks SQLのクエリのトラブルシューティングを行っています。ログによると、クラスターのリソース制約エラーが原因でジョブが常に中断されていることが示されています。
アナリストは、リソースの過剰使用を引き起こしているオペレーターを特定するために、どのクエリプロファイルメトリックを使用すべきでしょうか?
A. オペレーター1人あたりの作業時間
B. オペレーターごとにディスクに書き込まれたバイト数
C. オペレーターごとのシャッフル読み取りサイズ
D. 演算子あたりのメモリピーク
Question 3
データ アナリストは、次のコード行を使用してユーザー定義関数を作成しました。
関数 price(spend DOUBLE, units DOUBLE) を作成します。
倍精度値を返す
返品費用 / ユニット;
この関数をテーブル customer_summary の customer_spend 列と customer_units 列に適用して列 customer_price を作成するには、次のコード ブロックのどれを使用できますか。
A. SELECT price(customer_spend, customer_units) AS customer_price FROM customer_summary
B. SELECT function(price(customer_spend, customer_units)) AS customer_price FROM customer_summary
C. SELECT PRICE customer_spend, customer_units AS customer_price FROM customer_summary
D. SELECT double(price(customer_spend, customer_units)) AS customer_price FROM customer_summary
E. SELECT price FROM customer_summary
Question 4
DESCRIBE EXTENDED accounts.customers; を実行すると、次の結果が返されました。
ここで、データ アナリストは次のコマンドを実行します。
DROP アカウント。顧客。
このコマンドを実行した結果を説明するものはどれですか?
A. SELECT * FROM delta. `dbfs:/stakeholders/customers` を実行するとエラーが発生します。
B. メタストアから accounts.customers テーブルが削除され、基になるデータ ファイルが削除されます。
C. .customers 拡張子を持つすべてのファイルが削除されます。
D. accounts.customers テーブルはメタストアから削除されますが、基になるデータ ファイルはそのまま残ります。
E. SELECT * FROM accounts.customers を実行すると、テーブル内のすべての行が返されます。
Question 5
データアナリストは、アドホックプロジェクトを完了するためにゴールドレイヤーテーブルを使用しています。関係者から、既に使用されているゴールドレイヤーテーブルを拡張するために使用できる追加のデータセットがアナリストに提供されました。
このデータ拡張を説明するために使用される用語は次のどれですか?
A. Ad-hoc improvements
B. Data enhancement
C. Data testing
D. Last-mile ETL
E. Last-mile
Solutions:
| Question 1 Answer: A | Question 2 Answer: D | Question 3 Answer: A | Question 4 Answer: D | Question 5 Answer: B |
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