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NEW QUESTION: 1

Answer:
Explanation:
B

NEW QUESTION: 2
You are analyzing the performance of a database environment.
Applications that access the database are experiencing locks that are held for a large amount of time. You are experiencing isolation phenomena such as dirty, nonrepeatable and phantom reads.
You need to identify the impact of specific transaction isolation levels on the concurrency and consistency of data.
What are the consistency and concurrency implications of each transaction isolation level? To answer, drag the appropriate isolation levels to the correct locations. Each isolation level may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

Answer:
Explanation:

Explanation

Read Uncommitted (aka dirty read): A transaction T1executing under this isolation level can access data changed by concurrent transaction(s).
Pros:No read locks needed to read data (i.e. no reader/writer blocking). Note, T1 still takes transaction duration locks for any data modified.
Cons: Data is not guaranteed to be transactionally consistent.
Read Committed: A transaction T1 executing under this isolation level can only access committed data.
Pros: Good compromise between concurrency and consistency.
Cons: Locking and blocking. The data can change when accessed multiple times within the same transaction.
Repeatable Read: A transaction T1 executing under this isolation level can only access committed data with an additional guarantee that any data read cannot change (i.e. it is repeatable) for the duration of the transaction.
Pros: Higher data consistency.
Cons: Locking and blocking. The S locks are held for the duration of the transaction that can lower the concurrency. It does not protect against phantom rows.
Serializable: A transaction T1 executing under this isolation level provides the highest data consistency including elimination of phantoms but at the cost of reduced concurrency. It prevents phantoms by taking a range lock or table level lock if range lock can't be acquired (i.e. no index on the predicate column) for the duration of the transaction.
Pros: Full data consistency including phantom protection.
Cons: Locking and blocking. The S locks are held for the duration of the transaction that can lower the concurrency.
References:
https://blogs.msdn.microsoft.com/sqlcat/2011/02/20/concurrency-series-basics-of-transaction-isolation-levels/

NEW QUESTION: 3
An IT department is decommissioning a storage array and Casks an administrator with removing a datastore from ESXi hosts. What is a prerequisite for unmounting the datastore?
A. The datastore is NOT referenced by a host profile.
B. The datastore does NOT contain powered-off virtual machines.
C. The datastore is NOT managed by Storage DRS.
D. The datastore is NOT being used by vSphere High Availability heartbeating.
Answer: D

NEW QUESTION: 4
Cassandraを使用してキーと値のデータを格納するJavaアプリケーションを開発しています。アプリケーションで新しいAzureCosmosDBリソースとCassandraAPIを使用することを計画しています。 Cosmos DBCreatorsという名前のAzureActive Directory（Azure AD）グループを作成して、Azure Cosmosアカウント、データベース、およびコンテナーのプロビジョニングを有効にします。
Azure ADグループは、データへのアクセスに必要なキーにアクセスできないようにする必要があります。
AzureADグループへのアクセスを制限する必要があります。
どの役割ベースのアクセス制御を使用する必要がありますか？
A. コスモスバックアップオペレーター
B. CosmosDBアカウントリーダー
C. CosmosDBオペレーター
D. DocumentDBアカウントコントリビューター
Answer: C
Explanation:
Explanation
Azure Cosmos DB now provides a new RBAC role, Cosmos DB Operator. This new role lets you provision Azure Cosmos accounts, databases, and containers, but can't access the keys that are required to access the data. This role is intended for use in scenarios where the ability to grant access to Azure Active Directory service principals to manage deployment operations for Cosmos DB is needed, including the account, database, and containers.
Reference:
https://azure.microsoft.com/en-us/updates/azure-cosmos-db-operator-role-for-role-based-access-control-rbac-is-n