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Oracle 1z0-071日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Using Subqueries to Solve Queries | 15% | - Describe the types of problems that subqueries can solve - Write single-row and multi-row subqueries - Define subqueries - List the types of subqueries |
| Topic 2: Using Conversion Functions and Conditional Expressions | 10% | - Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions - Describe implicit and explicit data type conversion - Use conditional IF THEN ELSE logic in a SELECT statement - Apply the NVL, NULLIF, and COALESCE functions to data |
| Topic 3: Creating Other Schema Objects | 10% | - Create and maintain indexes - Create, maintain, and use sequences - Create, modify, and retrieve data from a view - Create synonyms for database objects |
| Topic 4: Restricting and Sorting Data | 6% | - Use DEFINE and UNDEFINE commands - Sort the rows that are retrieved by a query - Use ampersand substitution to restrict and sort output at runtime - Limit the rows that are retrieved by a query |
| Topic 5: Displaying Data from Multiple Tables Using Joins | 15% | - Join a table to itself by using a self-join - Write SELECT statements to access data from more than one table using equijoins and non-equijoins - View data that does not meet a join condition by using outer joins - Cross join tables |
| Topic 6: Using Set Operators | 5% | - Describe the order of precedence when the set operators are used - Use a set operator to combine multiple queries into a single query - Describe set operators |
| Topic 7: Retrieving Data Using the SQL SELECT Statement | 5% | - List the capabilities of SQL SELECT statements - Differentiate between SQL statements and SQL*Plus commands - Execute a basic SELECT statement |
| Topic 8: Using DDL Statements to Create and Manage Tables | 14% | - Alter table definitions - Categorize the main database objects - Describe the data types that are available for columns - Create a simple table - Review the table structure - Drop, rename, and truncate tables |
| Topic 9: Using Single-Row Functions to Customize Output | 10% | - Perform arithmetic with date data - Manipulate strings with character function in the SELECT and WHERE clauses - Manipulate dates with the date functions - Manipulate numbers with the ROUND, TRUNC, and MOD functions - Describe the differences between single-row and multiple-row functions |
| Topic 10: Manipulating Data | 14% | - Control transactions - Insert rows into a table - Delete rows from a table - Update rows in a table - Describe each data manipulation language (DML) statement |
| Topic 11: Reporting Aggregated Data Using Group Functions | 15% | - Identify the available group functions - Include or exclude grouped rows by using the HAVING clause - Group data by using the GROUP BY clause - Describe the use of group functions |
| Topic 12: Working with Oracle Database SQL | 8% | - Describe the Oracle Database architecture - Explain the installation of Oracle Database software - Create a container database - Start up and shut down a database |
| Topic 13: Controlling User Access | 5% | - Grant privileges on tables and on a view - Differentiate system privileges from object privileges - Distinguish between granting privileges and roles |
1z0-071日本語 Practice Questions: FAQ
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This package includes 437 practice questions for the Oracle Database SQL (1z0-071日本語版) exam. Every answer is verified by an experienced team of experts, so you can trust what you study.
The Oracle Database SQL (1z0-071日本語版) practice questions are organized around the official exam objectives. Key topics include:
- Manipulating Data (14%)
- Using Subqueries to Solve Queries (15%)
- Reporting Aggregated Data Using Group Functions (15%)
Clear topic organization makes the material easy to navigate from day one.
The Oracle Database SQL (1z0-071日本語版) exam contains 70 questions, and you will have 120 minutes minutes to complete them. Practicing within these limits turns pacing into second nature.
The Oracle Database SQL (1z0-071日本語版) exam requires a score of 63% to pass, and the official registration fee is $245 USD. Planning around both figures keeps your preparation grounded.
Directly. Suggestions and criticism from candidates feed into our review process, and recurring points are addressed in updates to the question bank and the software. If you notice something that could be better — a confusing question, a rough edge in the engine — tell us; that input is part of how the product improves.
No formal prerequisites required, but basic knowledge of relational database concepts is recommended
You can confirm the current eligibility requirements on the official 1z0-071日本語 exam page before you register.
Oracle Database SQL (1z0-071日本語版) Sample Questions:
スカラーサブクエリ式について正しい記述はどれですか?(2つ選択してください。)
- A. 親ステートメント内のテーブルと関連付けることはできません。
- B. 括弧で囲む必要があります。
- C. 2つの列を返すことができます。
- D. 最大で1列まで戻ることができます。
- E. 列のデフォルト値として使用できます。
Correct Answer: B,D 🗳️
TRUNCATEとDELETEについて正しい記述はどれですか?(2つ選択してください。)
- A. DELETE は WHERE 句を使用して、削除する行を指定できます。
- B. DELETE の結果は ROLLBACK を発行することで取り消すことができます。
- C. TRUNCATE の結果は ROLLBACK を発行することで元に戻すことができます。
- D. TRUNCATE は WHERE 句を使用して、削除する行を決定できます。
- E. TRUNCATE はテーブル上のすべてのインデックスを UNUSABLE 状態にします。
Correct Answer: A,B 🗳️
顧客テーブルのCUST_CITY列には、CUST_FIRST_NAMEが「Abigail」の場合に「Paris」という値が格納されています。
次のクエリを評価してください。
結果はどうなるだろうか?
- A. Abigail Pa
- B. An error message
- C. Abigail IS
- D. Abigail PA
Correct Answer: A 🗳️
COUNT関数に関して正しい記述はどれですか?(2つ選択してください。)
- A. COUNT(cust_id)は、重複する顧客IDを持つ行とCUST_ID列にNULL値を持つ行を含む行数を返します。
- B. COUNT関数はCHAR、VARCHAR2、NUMBERデータ型でのみ使用できます。
- C. COUNT(*)は、重複行と、いずれかの列にNULL値を含む行を含む行数を返します。
- D. DISTINCTキーワードでCOUNT関数を使用するSELECT文にはWHERE句を含めることはできません。
- E. COUNT(DISTINCT inv_amt) は、INV_AMT 列に重複値と NULL 値が含まれる行を除外した行数を返します。
Correct Answer: C,E 🗳️
Explanation: Only visible for Actual4dump members. You can sign-up / login (it's free).
顧客テーブルの説明を確認してください。
CUSTNOは主キーです。
重複している顧客名をすべてリストアップすることで、異なる顧客番号を使用して顧客情報が複数回入力されていないかどうかを確認する必要があります。
必要な結果を得るために使用できる方法はどれですか?(2つ選択してください。)
- A. 自己結合
- B. 左外側結合(自己結合)
- C. サブクエリ
- D. 自己結合によるフルアウタージョイント
- E. 右外側結合(自己結合)
Correct Answer: A,C 🗳️
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