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NEW QUESTION: 1
Examine the exhibit.

Which is true based on the information obtainable from the execution plan?
A. A full table scan on the EMPLOYEES table is done in parallel.
B. A full table scan on the DEPARTMENTS table performed serially by the query coordinator.
C. A full partition-wise join performed between the EMPLOYEES and DEPARTMENTS tables.
D. A full table scan on the DEPARTMENTS table is performed serially by a single parallel execution server process.
E. A partial partition-wise join performed between the EMPLOYEES and DEPARTMENTS tables.
Answer: A
Explanation:
PX BLOCK ITERATORThis operation is typically the first step in a parallel
pipeline. The BLOCK ITERATOR breaks up the table into chunks that are processed by
each of the parallel servers involved.
Incorrect:
B, C: The scan on the Departsments table is done in parallel.
Note:
*As per exhibit: Line 7 is run first, followed by line 6.
*Examplewith same structure of execution plan:

Here's how to read the plan:1. The first thing done is at line 9 - an index fast full scan on SYS.OBJ$.I_OBJ1 index. This is done in parallel, as indicated from the "PX SEND" line above.2. In line 8, we're doing a "PX SEND BROADCAST" operation. When joining tables in parallel, Oracle can choose to either broadcast results (rows) from one operation to apply to the other table scan, or it can choose PX SEND HASH. In this case, our CBO determined that a BROADCOAST was appropriate because the results from the OBJ$ table were much lower than the MYOBJ table3. Line 7, the PX RECEIVE step, is basically the consumer of the broadcasted rows in step 84. Line 6 is an in-memory BUFFER SORT of the rows returned from the index scan on OBJ$5. Lines 11 and 10, respectively, indicate the full scan and PX BOCK ITERATOR operation for the granules involved in the 8 PQ servers6. In line 5, Oracle is doing a hash join on the resulting rows from the parallel scans on MYOBJ and OBJ$7. Line 4 is a per-PQ server sort of data from the joind PQ servers8. Line 3 is the consumer QC that holds the result of the each of the PQ servers9. Line 2 is the PX Coordinator (QC) collecting, or consuming the rows of the joined data10. Line 1 is the final SORT AGGREGATE line that performs the grouping function

NEW QUESTION: 2
会社は、Webアプリケーションのセッション情報をAmazon DynamoDBテーブルにキャッシュします。
会社は、テーブルから古いアイテムを削除する自動化された方法を望んでいます。
これを行う最も簡単な方法は何ですか？
A. 毎日、セッションデータを保持する新しいテーブルを作成します。前日のテーブルを削除します。
B. 有効期限付きの属性を追加します。属性にItemExpirationという名前を付けます。
C. 古いレコードを削除するスクリプトを作成します。 Amazon EC2インスタンスでcronジョブとしてスクリプトをスケジュールします。
D. 有効期限付きの属性を追加します。その属性に基づいて存続可能時間機能を有効にします。
Answer: D
Explanation:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/time-to-live-ttl-how-to.html

NEW QUESTION: 3
資格情報と暗号化キーをソースコードに埋め込んだり、GitHubなどの公開リポジトリに配布したりしないでください。
A. 本当
B. 偽
Answer: A
Explanation:
This is true. Credentials and cryptographic keys must not be embedded in source code or distributed in public facing repositories such as GitHub, because there is a significant chance of discovery and misuse.
Keys need to be appropriately secured and a well- secured public key infrastructure (PKI) is needed to ensure key-management activities are carried out.